59 Jobs für Engine Design Validation Engineer
Stellenangebote Engine Design Validation Engineer Jobs
Job vor 3 Tagen bei Stellen-Online.de gefunden
Control Tec
• Wuppertal, 42285
Homeoffice möglich
Senior Robotics Simulation
Engineer We are Aptiv, a global technology company with 200, 000 specialists in 48 countries. We develop innovative software and build the hardware that powers autonomous vehicles, [...]
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[...] advanced driver-assistance systems, connected mobility, and intelligent automation. Working with nearly every major automotive manufacturer, our technologies are already integrated into millions of [. .. ] industrial, and adjacent markets. To accelerate development and deployment, we are looking for a Senior Robotics Simulation Engineer to drive the creation of high-fidelity simulation environments, digital twins, and validation frameworks that enable rapid development, testing, and optimization of autonomous systems. In this role, you will be responsible for developing scalable simulation infrastructure that allows robotics teams to collect synthetic data for AI model training, as well as validate perception, localization, planning, navigation, and control algorithms before deployment to real-[. .. ] with perception and hardware teams to bridge the gap between simulation and reality, enabling faster iteration cycles, improved safety, and robust system performance across multiple robot form factors. Key Responsibilities Design, develop, and maintain high-fidelity simulation environments for AMRs and drone platforms using industry-standard tools such as Isaac Sim, Gazebo, ROS 2 and NVIDIA Omniverse. Build digital twins of warehouse, manufacturing, and industrial environments to support algorithm development, testing, and customer demonstrations. Develop simulation models for sensors including Radar, [. .. ] Python and C++. Hands-on experience with ROS 2 and modern robotics software architectures. Experience with robotics simulation platforms such as NVIDIA Isaac Sim, Omniverse, Gazebo, Webots, Unity, or Unreal Engine. Deep understanding of robotics fundamentals, including perception, localization, mapping, motion planning, controls, and sensor fusion. Experience developing models for robotic sensors and vehicle dynamics. Hands-on experience with Blender, 3D modeling tools, or CAD software for creating and preparing simulation assets. Familiarity with cloud-based simulation, distributed testing, and large-[. .. ]
Job vor 5 Tagen bei Stellen-Online.de gefunden
Salesforce
D360 Forward Deployed Engineer-Vollzeit
• München, 80331 Muenchen
[. .. ] are the future of Salesforce. About the Role Production implementation experience required. Builder mindset non-negotiable. Salesforce is hiring Forward Deployed Engineers focused on Data 360, Salesforces real-time [...]
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[...] data engine that unifies data from any source. As a Forward Deployed Engineer, you will be a hands-on Technical Builder who configures, builds, tests, and deploys Data 360 directly inside enterprise customer environments. You will turn approved solution designs and acceptance criteria into working implementations across ingestion, harmonization, identity, insights, activation, retrieval, security, and operational readiness. Data 360 is also the data [. .. ] . Prove it works. Create representative test data and validate expected outcomes across happy paths, edge cases, access boundaries, hierarchy behavior, failure conditions, and customer-scale volumes. Ground the agents. Design, build, and maintain the AI data integration layer-RAG (Retrieval-Augmented Generation) , vector databases, search indexes, and knowledge bases-that grounds Agentforce solutions in accurate, real-time enterprise data. Orchestrate agent communication. Design and implement the protocols-including Model Context Protocol (MCP) and agent-to-agent communication-that govern, [. .. ] customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership and known limitations. Feed the roadmap. Surface reproducible platform gaps and edge cases-with live evidence, impact, and expected behavior-directly to Product and Support. You re Our Data 360 Forward Deployed Engineer If. . . You have 5+ years of experience [. .. ]
Job am 30.08.2026 bei Stellen-Online.de gefunden
Celonis
• München, 80331
Führungs-/ Leitungspositionen Homeoffice möglich
[. .. ] the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team Celonis Services [...]
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[...] is the delivery engine of our Celonis Customer Organization, responsible for turning the Celonis platform into measurable, business-critical outcomes for our customers. In the AI era, our role has elevated: as AI agents like our own Apollo take on more of the technical build, our people focus on the work that drives real [. .. ] augmented and agentic workflows are deployed effectively at scale. You operate at the intersection of deep platform expertise, domain knowledge, and customer strategy. You are equally comfortable leading a technical design review with Celonis engineers and presenting a transformation roadmap to a customers C-suite. You bridge the gap between pre-sales and post-sales, ensuring that what was promised can be delivered-and often shaping the promise itself. This role carries significant organizational leverage. You set delivery patterns that other [. .. ] conducting design reviews, and ensuring delivery teams follow architectural standards AI Orchestration Delivery Innovation Design how AI deployment agents (Apollo) should be used across complex, multi-workstream engagements, defining agent workflows, validation checkpoints, and quality gates Develop reusable specifications, templates, and patterns that enable Deployment Engineers to direct AI agents more effectively Pioneer new delivery approaches that leverage AI to compress timelines, improve quality, or unlock use cases that were previously impractical Set standards for AI output validation, ensuring the organization maintains quality [. .. ] scalable solution patterns, reference architectures, and best practices that the broader team can leverage Proactively identify and standardize high-value use cases within your domain in collaboration with the Deployment Engineer, collaborating with Product and Business Apps teams to shape the platform roadmap Practice Development Contribute to hiring: define what great looks like for the Deployment job family, conduct interviews, and calibrate candidate assessments Share knowledge across the organization through internal enablement sessions, documentation, and community of practice leadership Ensure the [. .. ]
Job am 30.08.2026 bei Stellen-Online.de gefunden
Salesforce
D360 Forward Deployed Engineer-Vollzeit
• Frankfurt, 60322
[. .. ] are the future of Salesforce. About the Role Production implementation experience required. Builder mindset non-negotiable. Salesforce is hiring Forward Deployed Engineers focused on Data 360, Salesforces real-time [...]
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[...] data engine that unifies data from any source. As a Forward Deployed Engineer, you will be a hands-on Technical Builder who configures, builds, tests, and deploys Data 360 directly inside enterprise customer environments. You will turn approved solution designs and acceptance criteria into working implementations across ingestion, harmonization, identity, insights, activation, retrieval, security, and operational readiness. Data 360 is also the data [. .. ] . Prove it works. Create representative test data and validate expected outcomes across happy paths, edge cases, access boundaries, hierarchy behavior, failure conditions, and customer-scale volumes. Ground the agents. Design, build, and maintain the AI data integration layer-RAG (Retrieval-Augmented Generation) , vector databases, search indexes, and knowledge bases-that grounds Agentforce solutions in accurate, real-time enterprise data. Orchestrate agent communication. Design and implement the protocols-including Model Context Protocol (MCP) and agent-to-agent communication-that govern, [. .. ] customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership and known limitations. Feed the roadmap. Surface reproducible platform gaps and edge cases-with live evidence, impact, and expected behavior-directly to Product and Support. You re Our Data 360 Forward Deployed Engineer If. . . You have 5+ years of experience [. .. ]
Job am 30.08.2026 bei Stellen-Online.de gefunden
Celonis
• München, 80331
Beratungs-/ Consultingtätigkeiten Homeoffice möglich
[. .. ] the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team Celonis Services [...]
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[...] is the delivery engine of our Celonis Customer Organization, responsible for turning the Celonis platform into measurable, business-critical outcomes for our customers. In the AI era, our role has elevated: as AI agents like our own Apollo take on more of the technical build, our people focus on the work that drives real [. .. ] augmented and agentic workflows are deployed effectively at scale. You operate at the intersection of deep platform expertise, domain knowledge, and customer strategy. You are equally comfortable leading a technical design review with Celonis engineers and presenting a transformation roadmap to a customers C-suite. You bridge the gap between pre-sales and post-sales, ensuring that what was promised can be delivered-and often shaping the promise itself. This role carries significant organizational leverage. You set delivery patterns that other [. .. ] conducting design reviews, and ensuring delivery teams follow architectural standards AI Orchestration Delivery Innovation Design how AI deployment agents (Apollo) should be used across complex, multi-workstream engagements, defining agent workflows, validation checkpoints, and quality gates Develop reusable specifications, templates, and patterns that enable Deployment Engineers to direct AI agents more effectively Pioneer new delivery approaches that leverage AI to compress timelines, improve quality, or unlock use cases that were previously impractical Set standards for AI output validation, ensuring the organization maintains quality [. .. ] scalable solution patterns, reference architectures, and best practices that the broader team can leverage Proactively identify and standardize high-value use cases within your domain in collaboration with the Deployment Engineer, collaborating with Product and Business Apps teams to shape the platform roadmap Practice Development Contribute to hiring: define what great looks like for the Deployment job family, conduct interviews, and calibrate candidate assessments Share knowledge across the organization through internal enablement sessions, documentation, and community of practice leadership Ensure the [. .. ]
Job am 22.08.2026 bei Stellen-Online.de gefunden
Celonis
Lead Deployment Architect-Vollzeit, Homeoffice
• München, 80331
Führungs-/ Leitungspositionen Homeoffice möglich
[. .. ] the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team Celonis Services [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] is the delivery engine of our Celonis Customer Organization, responsible for turning the Celonis platform into measurable, business-critical outcomes for our customers. In the AI era, our role has elevated: as AI agents like our own Apollo take on more of the technical build, our people focus on the work that drives real [. .. ] augmented and agentic workflows are deployed effectively at scale. You operate at the intersection of deep platform expertise, domain knowledge, and customer strategy. You are equally comfortable leading a technical design review with Celonis engineers and presenting a transformation roadmap to a customers C-suite. You bridge the gap between pre-sales and post-sales, ensuring that what was promised can be delivered-and often shaping the promise itself. This role carries significant organizational leverage. You set delivery patterns that other [. .. ] conducting design reviews, and ensuring delivery teams follow architectural standards AI Orchestration Delivery Innovation Design how AI deployment agents (Apollo) should be used across complex, multi-workstream engagements, defining agent workflows, validation checkpoints, and quality gates Develop reusable specifications, templates, and patterns that enable Deployment Engineers to direct AI agents more effectively Pioneer new delivery approaches that leverage AI to compress timelines, improve quality, or unlock use cases that were previously impractical Set standards for AI output validation, ensuring the organization maintains quality [. .. ] scalable solution patterns, reference architectures, and best practices that the broader team can leverage Proactively identify and standardize high-value use cases within your domain in collaboration with the Deployment Engineer, collaborating with Product and Business Apps teams to shape the platform roadmap Practice Development Contribute to hiring: define what great looks like for the Deployment job family, conduct interviews, and calibrate candidate assessments Share knowledge across the organization through internal enablement sessions, documentation, and community of practice leadership Ensure the [. .. ]
Job am 22.08.2026 bei Stellen-Online.de gefunden
Asana
• München, 80331
Homeoffice möglich
Our sales team is focused on finding efficient paths to successful, profitable, long-term customers by building a user-driven marketing and sales
engine. We act as a key voice of [...]
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[...] the customer to the product team, helping identify and overcome technical, educational, and competitive obstacles to our continued growth. In this role, you will join a newly formed team bringing Asana Service Management to IT and service teams, partnering with a dedicated Account [. .. ] partner. If you re interviewing for this role, your recruiter will share more about the in-office requirements. What youll achieve Partner with the incubation Account Executive to lead technical validation for IT and service team opportunities within various customer segments and industries, from discovery through proof, demo, and close Develop a deep understanding of IT and service management workflowsincluding request intake, approvals, triage, fulfillment, cross-functional coordination, and knowledge sharingand map those workflows to Asana Service Management Translate customer pain [. .. ] in designing and delivering product demonstrations, workshops, and whiteboard sessions for both technical and executive audiences Ability to explain technical concepts clearly and credibly, including LLMs, AI agents, integrations, workflow design, data structure, permissions, and automation concepts Strong collaboration skills and the ability to work seamlessly with AEs, CSMs, Product, Product Marketing, and other Solutions Engineers to drive customer outcomes Comfort operating in early-stage or incubation motions where messaging, product capabilities, and playbooks are evolving in real time Adaptability, intellectual [. .. ]
Job vor 2 Tagen bei Mindmatch.ai gefunden
QSC
Machine Learning Engineer Senior
• AT- 2 Lavamünd
[. .. ] solve problems in spaces, light, and more things to come. Through our two business segments, Acuity Brands Lighting and Lighting Controls (ABL) and the Intelligent Spaces Group [...]
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[...] (ISG) , we design, manufacture, and bring to market products and services that make a valuable difference in peoples lives. We are positioned at the intersection of sustainability and technology. Our businesses develop technology that helps save our customers energy and reduce their carbon emissions. We achieve growth through the development of innovative new products and services, including lighting, lighting controls, building management solutions, and locationaware applications. #QSYS Job Summary As a Senior ML Engineer in the intelligent AV pod, you will be responsible for evaluating, integrating, and optimizing stateoftheart machine learning models that power the perception and awareness engine behind QSYS Vision Suite. This position emphasizes strong engineering execution: systematically benchmarking external and internal models, selecting the right techniques for production constraints, and ensuring robust deployment in realtime, resourceconstrained AV environments. You will work closely with ML, Robotics, and Software Engineers to advance Vision Suite as a reliable, maintainable, [. .. ] using quantization, pruning, distillation, and runtime optimization techniques. Write productiongrade Python (and C++ where appropriate) following clean architecture and modular design principles. Contribute to CI/ CD pipelines, automated testing, regression validation, and performance monitoring for ML components. Ensure reproducibility, versioning, and traceability of models, datasets, and experiments. Collaborate to industrialize promising prototypes into scalable production systems. Work with Product and System Architects to align ML solutions with hardware and product roadmap constraints. Skills And Minimum Experience Required MSc or Ph D in [. .. ]
Job vor 6 Tagen bei Mindmatch.ai gefunden
u- blox AG
• AT- 2 Schweiz
Job Details: Senior Signal Processing
Engineer Full details of the job. Vacancy Name Vacancy Name Senior Signal Processing Engineer Location City Location City Thalwil Location Region Location Country Role [...]
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[...] also available in About u-blox About u-blox u-blox is a global leader in automotive, industrial, and consumer markets, driving innovation through our cutting-edge [. .. ] us in an exciting opportunity within the R D department of the high-precision positioning product portfolio at u-blox. As a Senior Signal Processing Engineer in our GNSS Measurement Engine (ME) team, youll play a key role in shaping the next generation of u-blox positioning solutions. Leveraging your expertise in embedded C, youll design and implement advanced GNSS receiver features that impact millions of users worldwide. Youll be part of a focused team, collaborating closely with a group of exceptionally skilled engineers. Your technical acumen, problem-solving mindset, and strong team spirit will help drive innovation within our agile development environment. If youre passionate [. .. ] from you. Your Responsibilities Design, implement, and optimize signal processing algorithms within GNSS measurement engines. Conduct proof-of-concept (Po C) studies using simulations as well as on-target verification and validation. Develop, execute, and review test cases to ensure product quality and robustness. Analyze nonconformities, investigate root causes, and implement bug fixes or workarounds. Prepare technical documentation and communicate results to stakeholders. Support product owners in backlog planning, prioritization, and refinement activities. Collaborate with stakeholders on requirements management and intellectual property [. .. ]
Job vor 6 Tagen bei Mindmatch.ai gefunden
INNIO Group
Principal Engineer Ignition Systems for Gas Engines (m/f/d)
• AT- 7 Jenbach
Are you passionate about advancing ignition system technology and eager to shape the future of gas
engine innovation? At Jenbacher, we foster a collaborative and forwardthinking environment where your [...]
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[...] expertise will make a real impact. We value teamwork, mentorship, and opportunities for professional growth, and we are excited to welcome a new Ignition System Expert to our engineering organization. What INNIO Offers You An innovative and international [. .. ] Alps with various outdoor sports and leisure possibilities Your Responsibilities Act as system owner for ignition systems within the Jenbacher engineering organization, reporting to the Head of Controls Engineering Lead design, development, and continuous improvement of ignition systems for all gas engine product lines Explore emerging ignition technologies and help shape multigeneration product strategy Gather requirements and drive technical execution of ignitionrelated development programs within crossfunctional teams Technically lead development projects from initial specification to successful field validation, reporting status and outlook to leadership Support technical qualification of suppliers and contribute to root cause analysis activities in the field Collaborate closely with colleagues from diverse backgrounds, gaining exposure to innovative technologies and leadership development opportunities Your Profile Bachelors degree or higher in Electrical Engineering, with at least 8 [. .. ]
Job vor 6 Tagen bei Mindmatch.ai gefunden
INNIO Group
• AT- 7 Jenbach
As an Advanced Development
Engineer (m/f/d) you develop,
design, validate and release service products related to the fluid, digital controls domain for maintaining operating Jenbacher gas engines. You [...]
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[...] collaborate with lead senior engineers over multiple departments. At INNIO We Offer You An innovative and international working environment Health We Care Program-including company sport activities Moving cost support for [. .. ] Service PLM team Improve existing products (fix robustness issues, increase user friendlyness, cost-out, incoorporate new technologies or developments) based on priority Collaborate with cross functional teams like Technology, Sourcing, Validation Team and Service Regions Organization, preparation documentation of testing activities on either development engines, rig test facilities or in field Continuously communicate with both the internal departments and suppliers to ensure efficient project execution Support the definition execution of projects using project management techniques Work self-dependent self-organized on [. .. ] work with cross-functional teams and manage multiple priorities Excellent communication skills and ability to get things done Excellent analytical thinking and problem-solving skills Good technical understanding of reciprocating engine operation and maintenance requirements Excellent communication skills Profound working experience in technical service addressing oil coolant assessment, digital solutions controls related aspects (sensorics, analytics condition-based assessment of engine components) Flexible mindset and ability to work on multiple projects and topics simultaneously Willingness to travel Fluency in German and English [. .. ]
Neu Job vor 3 Std. bei Jobleads gefunden
Principal Database Engineer
[. .. ] across AWS and GCP Lead reliability, performance, scalability, and lifecycle management of Microsoft SQL Server platforms Drive enterprise-wide migrations and modernization initiatives toward Postgre SQL and cloud-native [...]
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[...] database services Design and develop automated frameworks for provisioning, patching, backup validation, failover testing, and routine maintenance using Ia C and configuration management Partner with Platform Engineering on database release automation, CI/ CD pipelines, schema versioning, and environment standardization Collaborate with application development teams to optimize database design, query performance, schema evolution, and deployment strategies Establish database observability standards, telemetry, logging, alerting, and [. .. ] Kubernetes Administrator (CKA) or equivalent containerization certification (preferred) Terraform Associate or equivalent Infrastructure as Code certification (preferred) ITIL Foundation or SRE-related certifications (preferred) Expert-level Microsoft SQL Server administration, engine internals, HADR strategies, and performance engineering Knowledge of Postgre SQL or other enterprise relational database platforms Knowledge of public cloud architectures, Kubernetes, and infrastructure automation Advanced scripting and programming using Power Shell, Python, Bash, or equivalent languages Database performance engineering, advanced SQL query tuning, and troubleshooting of distributed data systems Ability [. .. ]
Neu Job vor 3 Std. bei Jobleads gefunden
• Berlin
Sabbaticals Jobticket Work-Life-Balance
Your tasks this is what awaits you in detail As a Staff Search
Engineer (all genders) your goal is to bring our search to the next level for our [...]
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[...] customers Improving our relevance: Writing faster queries, improving data quality of ingested data and by making decisions on better vs. worse relevancy you understand our searches inside out to make and share informed decisions Enriching [. .. ] implications and effects on indexing and querying Performance enhancement: You are always on the lookout, keeping our search speed as fast as possible Safety first: With everything you touch and design, you keep resiliency in mind as a key theme in a microservice environment. You know what circuit breakers and bulk heads are and only use caches when they make sense. You favour exponential backoff over Crash Loop Backoff a lot Our team tech stack consists of Kubernetes, g RPC, Typescript, the [. .. ] Data Dog for monitoring Your profile this is what we expect from you You have relevant experience of 7+ years as a Search Engineer You know how a (distributed) search engine works and have gained experience with one of the more well known search engines in the market You bring the skills to run, monitor, debug, and operate our Elasticsearch cluster and applications and always write well tested and reviewed code You dont believe, you know: You do not guess and are well equipped with tangible facts and figures, we run A/ B tests for validation and expect you to come up with proper metrics of success and failure for a search feature You are curious about the latest developments in tech and the search space in general (semantic search, NLP, LLMs, vectors, hybrid search, machine learning are all on our roadmap, especially with performance in [. .. ]
Neu Job vor 3 Std. bei Jobleads gefunden
Senior QA Test Automation Engineer (all genders)
Work-Life-Balance
We are looking for a Senior QA Test Automation
Engineer to start and scale our test automation efforts across our Unity-based mobile games for i OS and Android. In [...]
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[...] this high-impact role, you will help to shape and drive the automation strategy, architect scalable and maintainable frameworks, and integrate automated testing into our CI/ CD pipelines to protect release stability and accelerate delivery. You will work closely with Games QA, Game Developers, and SDK/ Engine teams to establish automation as a core pillar of our quality strategy. While automation will be your primary focus, we value a pragmatic mindset. You should also be comfortable stepping into manual testing when needed to support releases or investigate complex issues. Job Requirements 5+ years of experience in QA automation, including senior-level ownership Experience with backend/API automation testing (e. g. , REST, Swagger/ Open API-based validation) Strong hands-on experience with Unity and C # Type Script/ Java Script or Python (for tooling CI scripts) Experience testing mobile game applications on i OS and Android Proven experience designing and scaling automation frameworks Experience integrating automated testing into CI/ CD environments Strong debugging and analytical skills Ability to [. .. ] UI gameplay automation) and Maestro (mobile E2E/ UI automation) or alternatives You communicate fluently in English, both written and spoken. Job Responsibilities Lead the automation strategy for Unity mobile games Design and develop scalable automation frameworks and tooling Integrate automated tests into CI/ CD pipelines to gate merges and protect the main branch Build and maintain automated regression coverage for core gameplay flows, SDK integrations, and backend interactions Establish automation standards and best practices Collaborate closely with Game Developers to improve [. .. ]
Neu Job vor 3 Std. bei Jobleads gefunden
Own the recommendation
engine end to end, including model selection, algorithm
design, preprocessing, and safety guardrails Design, evaluate, and productionize time-series forecasting and statistical models for right-sizing Kubernetes [...]
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[...] workloads across CPU, memory, GPU, and JVM heap Build and maintain the data-quality layer by detecting and filtering anomalies, load-test windows, startup spikes, and autoscaling artifacts from production telemetry Define and improve recommendation-quality measurement through regression testing, behavioral validation, and production accuracy and safety metrics Investigate and resolve recommendation-quality issues from customer environments by tracing data, preprocessing, and model behavior Serve as the teams machine learning authority and guide technical direction on ML questions and model-versus-heuristic tradeoffs Write production-grade Python for models and pipelines and [. .. ]
Job gestern bei Jobleads gefunden
Machine Learning Engineer Senior
• Lavamünd, Kärnten Lavamuend
[. .. ] solve problems in spaces, light, and more things to come. Through our two business segments, Acuity Brands Lighting and Lighting Controls (ABL) and the Intelligent Spaces Group [...]
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[...] (ISG) , we design, manufacture, and bring to market products and services that make a valuable difference in peoples lives. We are positioned at the intersection of sustainability and technology. Our businesses develop technology that helps save our customers energy and reduce their carbon emissions. We achieve growth through the development of innovative new products and services, including lighting, lighting controls, building management solutions, and locationaware applications. #QSYS Job Summary As a Senior ML Engineer in the intelligent AV pod, you will be responsible for evaluating, integrating, and optimizing stateoftheart machine learning models that power the perception and awareness engine behind QSYS Vision Suite. This position emphasizes strong engineering execution: systematically benchmarking external and internal models, selecting the right techniques for production constraints, and ensuring robust deployment in realtime, resourceconstrained AV environments. You will work closely with ML, Robotics, and Software Engineers to advance Vision Suite as a reliable, maintainable, [. .. ] using quantization, pruning, distillation, and runtime optimization techniques. Write productiongrade Python (and C++ where appropriate) following clean architecture and modular design principles. Contribute to CI/ CD pipelines, automated testing, regression validation, and performance monitoring for ML components. Ensure reproducibility, versioning, and traceability of models, datasets, and experiments. Collaborate to industrialize promising prototypes into scalable production systems. Work with Product and System Architects to align ML solutions with hardware and product roadmap constraints. Skills And Minimum Experience Required MSc or Ph D in [. .. ]
Job vor 2 Tagen bei Jobleads gefunden
• Berlin
[. .. ] are the future of Salesforce. About The Role Production implementation experience required. Builder mindset non-negotiable. Salesforce is hiring Forward Deployed Engineers focused on Data 360, Salesforces real-time [...]
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[...] data engine that unifies data from any source. As a Forward Deployed Engineer, you will be a handson Technical Builder who configures, builds, tests, and deploys Data 360 directly inside enterprise customer environments. You will turn approved solution designs and acceptance criteria into working implementations across ingestion, harmonization, identity, insights, activation, retrieval, security, and operational readiness. Data 360 is also the data foundation [. .. ] fabric) . Prove it works. Create representative test data and validate expected outcomes across happy paths, edge cases, access boundaries, hierarchy behavior, failure conditions, and customerscale volumes. Ground the agents. Design, build, and maintain the AI data integration layer-RAG (Retrieval Augmented Generation) , vector databases, search indexes, and knowledge bases-that grounds Agentforce solutions in accurate, realtime enterprise data. Orchestrate agent communication. Design and implement the protocols-including Model Context Protocol (MCP) and agenttoagent communication-that govern, monitor, and ensure [. .. ] customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership and known limitations. Feed the roadmap. Surface reproducible platform gaps and edge cases-with live evidence, impact, and expected behavior-directly to Product and Support. Youre Our Data 360 Forward Deployed Engineer If. . . You have 5+ years of experience in [. .. ]
Job vor 2 Tagen bei Jobleads gefunden
Intern Deployment Engineer-Data AI
• München, Bayern
[. .. ] the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team Celonis Services [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] is the delivery engine of our Celonis Customer Organization, responsible for turning the Celonis platform into measurable, business-critical outcomes for our customers. In the AI era, our role has elevated: as AI agents like our own Apollo take on more of the technical build, our people focus on the work that drives real [. .. ] dashboards by helping to write clear specifications. Conduct exploratory data analysis, utilizing Celonis and other tools to uncover trends, process inefficiencies, and root causes. Assist in defining the initial solution design blueprint and configuring operational solutions across the platform. Value Rollout Support the validation of AIgenerated outputs for accuracy and business relevance alongside senior team members. Help develop and maintain KPIs to track the success of project initiatives and quantify business impact. Assist in documenting solution design decisions and configurations for future reference and customer handover. What Makes This Role Different in the AI [. .. ]
Job vor 2 Tagen bei Jobleads gefunden
D360 Forward Deployed Engineer
• München, Bayern
[. .. ] are the future of Salesforce. About The Role Production implementation experience required. Builder mindset non-negotiable. Salesforce is hiring Forward Deployed Engineers focused on Data 360, Salesforces real-time [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] data engine that unifies data from any source. As a Forward Deployed Engineer, you will be a handson Technical Builder who configures, builds, tests, and deploys Data 360 directly inside enterprise customer environments. You will turn approved solution designs and acceptance criteria into working implementations across ingestion, harmonization, identity, insights, activation, retrieval, security, and operational readiness. Data 360 is also the data foundation [. .. ] fabric) . Prove it works. Create representative test data and validate expected outcomes across happy paths, edge cases, access boundaries, hierarchy behavior, failure conditions, and customerscale volumes. Ground the agents. Design, build, and maintain the AI data integration layer-RAG (Retrieval Augmented Generation) , vector databases, search indexes, and knowledge bases-that grounds Agentforce solutions in accurate, realtime enterprise data. Orchestrate agent communication. Design and implement the protocols-including Model Context Protocol (MCP) and agenttoagent communication-that govern, monitor, and ensure [. .. ] customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership and known limitations. Feed the roadmap. Surface reproducible platform gaps and edge cases-with live evidence, impact, and expected behavior-directly to Product and Support. Youre Our Data 360 Forward Deployed Engineer If. . . You have 5+ years of experience in [. .. ]
Job vor 7 Tagen bei Jobleads gefunden
Staff Data Scientist-Network
[. .. ] right, the network runs efficiently and cost per parcel drops. When they drift, the cost compounds across every stage of the operation. The Network squad builds and [...]
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[...] maintains the forecasting engine that powers all of it, and Demand Forecasting is its core: one forecast of what will be available to sort, at outcode granularity, from D0 out to D30. As a Staff Data Scientist, you are the technical anchor for Demand Forecasting. You own the hardest and most ambiguous parts of the forecast, and you set the methodology and validation standards the rest of the area works to. That means owning the single integrated forecast of what volume the network will have to move, by area and out to thirty days, which the demand-management layer then turns into the operational plan the sort centres and transport teams run on. [. .. ] you do it as the most senior individual contributor in the room, on the tools. Youll work alongside a Senior Data Scientist who owns the domestic volume forecasts, an ML Engineer who keeps the models running reliably in production, and an Analyst who owns forecast accuracy and data quality. People leadership, strategy and cross-squad priorities sit with the Data Science Manager who leads the squad; you own the science. Relay operates a centralised data team of around 30 Data Engineers, [. .. ] how routes are planned, and it feeds a downstream planning decision and the networks expansion models. You care about how your models connect to the models around them, and you design their interfaces deliberately. A deep track record of building and delivering models from ambiguous starting points. You understand the problem, build something useful, validate it against real operations, and iterate. You evaluate models well beyond standard offline metrics, connecting outputs to downstream applications and business KPIs and measuring how improvements [. .. ]
Job vor 8 Tagen bei Jobleads gefunden
Senior Full Stack Engineer Type Script/ Next. js (100, m/f/d)
• Berlin
Your mission You are the architect and builder of the customer-facing side of the LEASETEQ platform in Berlin, and the owner of our German market on it. You
design [...]
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[...] the digital application journey and the portals that carry real customers, dealers and operations teams at production scale, and you make sure German credit rules, compliance requirements and dealer flows are represented correctly in a platform that also serves Switzerland and Austria. You work in a small, senior team where [. .. ] on our customer-facing platform: credit and compliance requirements, dealer flows, German copy, and the acceptance criteria that make them verifiable Design and build the digital application journey multistep forms, validation, resumable state, document upload, KYC steps and the unhappy paths users actually hit Build and maintain the customer, dealer and operations portals, including the operations board and the logic that decides where a case belongs Write the usecase and API layers behind the journey to our cleanarchitecture standard this is a fullstack role, not a UI role Own fieldlevel mapping into the CRM and the Flowablebased process engine beneficial ownership, source of funds, origin of income, additional persons where a wrong key is a compliance defect, not a cosmetic one Author specificationdriven change proposals, and act as the named human approver for journey and mapping changes in the German market Grow endtoend test coverage on the critical journeys: [. .. ]
Job vor 8 Tagen bei Jobleads gefunden
Data Engineer
• München, Bayern
We are hiring a Data ML
Engineer to take ownership of our data pipelines and bring advanced analytics and optimization models into production. This role sits at the intersection [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] of data engineering, applied machine learning, and energy systems, bridging our data science and software engineering efforts. About BEO BEO is a new kind of power company: battery-[. .. ] power. Its storing it. Storage moves power across time. So we put a battery next to each factory. We finance it all. We run it with our AI-powered optimization engine that buys power when its cheap, stores it, shaves peak loads, and trades whats left. The customer gets no Cap Ex, no complexity, just a lower and predictable energy bill. And we dont stop at single sites. Our network runs them as one connected fleet. The more batteries we connect, [. .. ] from ingesting large volumes of time-series data (telemetry, forecasts, energy market data) to transforming, validating, and serving them reliably in production Establish and maintain strong data quality standards, including validation, anomaly detection, and monitoring Design and evolve our data platform architecture for scalable, real-time and historical processing Turn forecasting, optimization, and algorithmic ideas into robust, production-ready systems in collaboration with data scientists, and take ownership of deploying and running them reliably under real-world constraints. Contribute to forecasting, optimization, and algorithm development, and [. .. ]
Job vor 8 Tagen bei Jobleads gefunden
Senior Software Engineer, Agentic AI
[. .. ] streaming innovation. If you love building the invisible foundations that make great user experiences possible, this is the team for you. What is the role? As a [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] Senior Agentic AI Engineer in the DMTE team, youll be the driving force behind embedding intelligent, autonomous AI capabilities into Rokus platform reimagining how our systems create, optimize, and deliver experiences to tens of millions of devices. Rather than building UI features directly, youll design and deploy agentic AI systems that reason, plan, and act across our development and delivery pipelines from automating the generation of themed experiences to enabling self-optimizing rendering workflows within the AD Display. Youll leverage your years of experience in software engineering and building world class UI to build AI [. .. ] LLMs; We build automated agentic processes Design, build, and deploy agentic AI systems that autonomously generate, test, and optimize Bright Script/ Type Script code and UI experiences for the FRAME engine Architect multi-agent workflows (planning, tool-use, retrieval, execution, validation) that accelerate development and reduce manual engineering effort across the team Develop AI-powered automation that understands the constraints of embedded C++ environments and produces performance-safe, memoryefficient outputs Build and maintain evaluation frameworks to measure agent reliability, accuracy, and performance in production-critical contexts Collaborate with cross-functional teams [. .. ]
Job vor 8 Tagen bei Jobleads gefunden
Senior Full Stack Engineer-Type Script/ Next. js (100, m/f/d)
Your mission You are the architect and builder of the customer-facing side of the LEASETEQ platform in Berlin, and the owner of our German market on it. You
design [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] the digital application journey and the portals that carry real customers, dealers and operations teams at production scale, and you make sure German credit rules, compliance requirements and dealer flows are represented correctly in a platform that also serves Switzerland and Austria. You work in a small, senior team where [. .. ] our customer-facing platform: credit and compliance requirements, dealer flows, German copy, and the acceptance criteria that make them verifiable Design and build the digital application journey-multi-step forms, validation, resumable state, document upload, KYC steps and the unhappy paths users actually hit Build and maintain the customer, dealer and operations portals, including the operations board and the logic that decides where a case belongs Write the use-case and API layers behind the journey to our clean-architecture standard-this is a full-stack role, not a UI role Own field-level mapping into the CRM and the Flowable-based process engine-beneficial ownership, source of funds, origin of income, additional persons-where a wrong key is a compliance defect, not a cosmetic one Author specification-driven change proposals, and act as the named human approver for journey and mapping changes in the German market Grow end-to-end test coverage on [. .. ]
Job vor 9 Tagen bei Jobleads gefunden
Senior Software Engineer, Product
[. .. ] product engineering role on a small, mission-driven team building AI-native video and audio editing tools. Engineers own outcomes end to end, taking work from a rough idea [...]
MEHR INFOS ZUM STELLENANGEBOT
[...] through design, implementation, launch, measurement, and iteration, in close partnership with product, design, and the rest of engineering. The team is organized into pods covering the core editor, growth and monetization, media engine, and an agentic AI co-editor. Responsibilities Own meaningful product surfaces end to end, including definition, design, implementation, launch, measurement, and maintenance of customer-facing features. Partner with product and design to shape interactions, expose constraints, choose the right metrics, and find simpler paths to user outcomes. Build ambitious full-[. .. ] thoughtful questions. Strong product instincts, including caring about how software feels and pushing back when the technically correct result is still wrong for the user. Clear, human writing and rigorous validation habits (reproductions, logs, tests) rather than relying on appearances. Nice to have Experience with editors, media products, creative tools, or payment systems. Familiarity with the core stack: Type Script, HTML/ CSS, React, Redux, Node. js, API design, Temporal Workflows, and SQL. Building agents or experimenting with media-generation models. Strength [. .. ]
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Häufig gestellte Fragen
Wieviel verdient man als Engine Design Validation Engineer pro Jahr?
Als Engine Design Validation Engineer verdient man zwischen EUR 60.000,- bis EUR 80.000,- im Jahr.
Wieviele offene Stellenangebote gibt es für Engine Design Validation Engineer Jobs bei unserer Jobsuche?
Aktuell gibt es auf JobRobot 59 offene Stellenanzeigen für Engine Design Validation Engineer Jobs.
Wieviele Unternehmen suchen nach Bewerbern für Engine Design Validation Engineer Jobs?
Aktuell suchen 8 Unternehmen nach Bewerbern für Engine Design Validation Engineer Jobs.
Welche Unternehmen suchen nach Bewerbern für Engine Design Validation Engineer Stellenangebote?
Aktuell suchen zum Beispiel folgende Unternehmen nach Bewerbern für Engine Design Validation Engineer Stellenangebote:
- Celonis (3 Jobs)
- Salesforce (2 Jobs)
- INNIO Group (2 Jobs)
- Control Tec (1 Job)
- Asana (1 Job)
- QSC (1 Job)
In welchen Bundesländern werden die meisten Engine Design Validation Engineer Jobs angeboten?
Die meisten Stellenanzeigen für Engine Design Validation Engineer Jobs werden derzeit in Bayern (15 Jobs), Berlin (12 Jobs) und Hamburg (4 Jobs) angeboten.
Zu welchem Berufsfeld gehören Engine Design Validation Engineer Jobs?
Engine Design Validation Engineer Jobs gehören zum Berufsfeld Maschinenbau.
