649 matching jobs for “Senior Software and System Architect”How results work Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.
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Role Name: Principal Information Security Architect - Encryption Agility Team Job Posting Title: Senior Specialist Information Security - Encryption Agility …
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Senior . Specialist, Software Engineering (MuleSoft Integration) The Opportunity Based in Hyderabad, join a global …
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At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the …
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… Type: Onsite

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… of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of …
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Pay posted by employer $170,000–$210,000 per year
Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Masimo , one of Danaher’s …
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About this opportunity Original employer description Job Description
General Motors is a global leader in advanced driver assistance . With Super Cruise hands-free technology in more than 500,000 Super Cruise–equipped vehicles on the road and over 700 million hands-free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting-edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.
The Evaluation team builds and evolves the evaluation ecosystem that powers the development and scaling of GM’s autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality.
We own large-scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release-gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM’s core evaluation platforms, turn system-level results into clear feedback for engineering and leadership, and help accelerate validated AV deployment at scale.
What You’ll Do (Responsibilities) Develop and apply methods to introspect the operation of ML components in the autonomy stack, including evaluation of perception , prediction, and planning models.
Build and maintain autonomy evaluation dashboards and interactive reports that provide clear, explainable insights (e.g., trend analysis, drift detection, scenario coverage) for development, verification, and leadership.
Leverage vision-language models (VLMs) and large language models (LLMs), where appropriate , to classify autonomy performance, identify critical scenarios, and prioritize validation efforts, integrating human-in-the-loop review where needed.
Maintain a high technical standard through thoughtful system design, code reviews, testing, observability, and adherence to software-engineering best practices.
Interface with cross-organizational partners to articulate requirements, resolve handoff issues, and share best practices around evaluation, metrics, and experiment design.
Your Skills & Abilities (Required Qualifications) 5+ years of applied experience with robotics or autonomous systems software (e.g., sensors, perception , prediction, planning, or control), data analysis, ML evaluation, or autonomy analytics.
3+ years evaluating dynamic systems using numerical and/or ML approaches, including time-series data, state derivatives, dynamics, and interconnected subsystems.
Strong proficiency developing Python in production team environments, including testing, performance, and code review.
Proficiency with Pandas, NumPy, SciPy , and plotting/visualization libraries for large-scale data analysis and reporting.
Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms.
Demonstrated technical leadership, including driving architectural decisions, influencing cross-team designs, and owning complex features or services end-to-end.
Bachelor’s, Master’s, or PhD in C omputer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Data Science , or a related field, or equivalent practical experience.
What Will Give You a Competitive Edge (Preferred Qualifications) Experience evaluating robotics or AV systems using sensor data (e.g., camera, lidar, radar) and large-scale time-series analysis.
Familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy or simulation evaluation; fluency with Pandas, NumPy, SciPy, and visualization tools.
Prior development experience with computational geometry, linear algebra, PyTorch , and ML techniques applied to perception , prediction, planning, or control.





About GM
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Full time Information Technology Group Regular Remote/Hybrid
