CrawlJobs Logo
General Motors Logo General Motors · IT - Software Development

Engineering Manager - Autonomy Evaluation

United States, Sunnyvale 185100.00 - 284100.00 USD / Year · Job Posted May 31, 2026
Apply Position
Job Link Share

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.

Job Responsibility

  • Lead, coach, and grow a team of engineers building autonomy evaluation platforms, metrics, workflows, dashboards, and analysis tooling for simulation and on-road testing
  • Set technical direction for systems that introspect autonomous driving software performance across interfaces and across the autonomy stack
  • Drive the design and delivery of analysis algorithms that summarize, aggregate, and cluster metrics from simulation and on-road runs
  • Guide the team in developing new statistical and machine learning methods to quantify performance and identify behavior patterns across scenes and operational domains
  • Oversee evaluation approaches for ML components across perception, prediction, and planning, ensuring methods are explainable, scalable, and useful to development and verification teams
  • Ensure the team delivers clear dashboards and interactive reports for trend analysis, drift detection, scenario coverage, and leadership insight
  • Partner closely with Autonomy, Simulation, Systems, and Safety teams to define requirements, resolve handoff issues, and align evaluation strategy with product and release needs
  • Help the organization leverage emerging AI techniques, including VLMs and LLMs where appropriate, to classify autonomy performance and prioritize validation work with human-in-the-loop review
  • Maintain a high technical bar through strong system design, code review, testing, observability, and engineering best practices
  • Translate system-level results into clear feedback for engineering and leadership and drive execution against high-priority evaluation outcomes
  • Build a high-performing, inclusive engineering team through hiring, coaching, feedback, and career development
  • Create clarity across priorities, roadmaps, and dependencies for a technically complex evaluation domain
  • Balance near-term delivery with long-term platform investments in metrics, tooling, and infrastructure
  • Raise the quality of team execution through clear ownership, strong design reviews, and healthy operating mechanisms
  • Represent the team effectively across partner organizations and influence decisions that affect system-level AV quality

Requirements

  • 8+ years of relevant experience in robotics, autonomous systems software, data analysis, ML evaluation, or autonomy analytics, including substantial experience leading technical teams and delivering complex software systems
  • 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
  • Strong hands-on familiarity with Pandas, NumPy, SciPy, and data visualization libraries for large-scale 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 services or platforms end-to-end
  • Strong cross-functional communication and an ability to convert ambiguous evaluation needs into clear technical plans
  • Strong analytical curiosity and a disciplined approach to root-causing anomalous data and system discrepancies
  • Bachelor's, Master's, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience

Nice to have

  • Experience in autonomous driving or field robotics, including interpreting results from simulation and field experiments
  • Experience evaluating robotics or AV systems using sensor data such as camera, lidar, and radar, and working with large-scale time-series analysis
  • Strong intuition for data visualization and the ability to turn high-dimensional metrics into clear, trustworthy views for technical and non-technical audiences
  • Familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy or simulation evaluation
  • Proficiency in SQL and experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing and performance monitoring
  • Experience with ROS or similar robotics/IPC frameworks, log pipelines, and experiment databases or evaluation platforms
  • Prior experience with computational geometry, linear algebra, PyTorch, and ML techniques applied to perception, prediction, planning, or control
  • Background contributing to release gating, risk assessment, and safety-related decisions for autonomy systems
  • Experience using AI-assisted development and analytics tools to improve engineering productivity and evaluation coverage

What we offer

  • Medical
  • Dental
  • Vision
  • Health Savings Account
  • Flexible Spending Accounts
  • Retirement savings plan
  • Sickness and accident benefits
  • Life insurance
  • Paid vacation & holidays
  • Tuition assistance programs
  • Employee assistance program
  • GM vehicle discounts
  • Company vehicle evaluation program
General Motors - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Engineering Manager - Autonomy Evaluation

8 matching positions

Director, Engineering - Autonomy

As the Director of Engineering - Autonomy, you will provide the strategic leader...
Location
Location
United States , San Francisco, California; Sunnyvale, California
Salary
Salary:
302000.00 - 336000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of professional experience in Software Engineering, Machine Learning, or Autonomous Systems
  • 5+ years of leadership experience managing and scaling engineering organizations, including experience managing other managers and senior technical leaders (Principals/Staff)
  • Proven track record of successfully deploying complex, real-time software systems to physical hardware (edge compute, robotics, or autonomous vehicles)
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field
Job Responsibility
Job Responsibility
  • Executive Leadership & Strategy: Define the technical vision and organizational roadmap for major components of the core autonomy system
  • Core AI & Safety Architecture: Direct the development of robust edge software, guiding the integration of advanced ML models with deterministic, rule-based safety fallbacks
  • Research & Evaluation Focus: Champion the transition of cutting-edge AI into production-ready software designed specifically to safely orchestrate vehicle operations for advanced research, ecosystem benchmarking, and scaled data collection mission
  • Organizational Growth: Build, manage, and mentor a high-performing organization of engineering managers, principal engineers, and technical leaders
  • Cross-Functional Execution: Partner directly with other AV departments to ensure a seamless transition from virtual testing to physical fleet deployment
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible to participate in a 401(k) plan
  • Various benefits
  • Fulltime
Read More
Arrow Right

Principal Software Engineering Manager - AI Frameworks

As a Principal Software Engineering Manager - AI Frameworks on the team, you wil...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 304200.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Master’s Degree in Computer Science or related technical field AND 10+ years of software engineering experience, including 6+ years in engineering management, OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years of software engineering experience, including 6+ years in engineering management, or equivalent experience
  • Strong technical foundation in software engineering principles, computer architecture, GPU architecture, and hardware acceleration for neural networks, with the ability to guide teams working in these areas
  • Experience leading teams responsible for end-to-end performance analysis and optimization of LLMs, AI systems, or HPC workloads, including use of GPU profiling and performance analysis tools
  • Demonstrated ability to lead cross-team initiatives, align stakeholders, and translate research or platform capabilities into scalable, production-ready solutions
  • Proven people leadership skills, including hiring, coaching, performance management, and career development, with a track record of building high-performing, inclusive teams
  • Exposure to AI / ML infrastructure, including DNN or LLM training and/or inference systems, and experience with at least one modern deep learning framework (e.g., PyTorch, TensorFlow, ONNX Runtime)
  • Familiarity with GPU software stacks and acceleration technologies such as CUDA, ROCm, Triton, or equivalent, sufficient to guide technical direction and evaluate tradeoffs
Job Responsibility
Job Responsibility
  • Lead and develop a team of engineers working across multiple layers of the AI software stack to enable large-scale training and inference
  • Set technical vision and execution strategy for model performance benchmarking, optimization, and deployment across GPUs and Microsoft hardware
  • Drive performance outcomes by prioritizing and overseeing efforts to benchmark, profile, debug, and optimize training and inference workloads
  • Own performance health by establishing mechanisms to monitor regressions, measure impact, and continuously improve time-to-deploy and hardware efficiency
  • Partner cross-functionally with research, product, infrastructure, and hardware teams to deliver scalable, production-ready AI performance improvements
  • Balance short-term delivery and long-term investments, ensuring the team’s work aligns with organizational goals, platform roadmaps, and Azure capex objectives
  • Build a strong engineering culture through coaching, feedback, hiring, and career development, enabling the team to operate with increasing autonomy and impact
  • Fulltime
Read More
Arrow Right

Engineering manager web safety

The Applied team safely brings OpenAI's technology to the world. Our team launch...
Location
Location
United States , San Francisco
Salary
Salary:
347000.00 - 490000.00 USD / Year
openai.com Logo
OpenAI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive hands-on experience managing machine learning teams, ideally in web safety, content integrity, or related domains
  • Successfully trained, fine-tuned, or distilled LLMs and traditional ML models to solve real-world business problems
  • Enjoy being deeply involved technically—actively designing solutions, training models, and guiding deployment processes alongside your team
  • Excel at collaborating across teams to integrate existing tools and thoughtfully architect new solutions
  • Possess strong emotional intelligence, empathy, and the ability to effectively connect with colleagues
  • Embrace ambiguity and rapidly changing circumstances as opportunities to create clarity, structure, and impactful solutions
Job Responsibility
Job Responsibility
  • Architect and build next-generation system protections, directly contributing through hands-on design, model training, and deployment strategies
  • Lead and manage a small, senior team of Machine Learning Engineers, empowering them with clear direction and autonomy
  • Collaborate closely with Research, Safety, Product, and Policy teams to leverage existing tools and drive cutting-edge advancements
  • Utilize state-of-the-art models to detect and prevent problematic content effectively
  • Establish robust evaluation frameworks and metrics, clearly measuring progress and identifying areas for improvement
  • Support your team's professional growth and maintain high performance through mentorship and clear career progression
What we offer
What we offer
  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Fulltime
Read More
Arrow Right

Engineering Manager - OpenCTI

We're looking for a Engineering Manager to join our OpenCTI team and help us ani...
Location
Location
France
Salary
Salary:
Not provided
filigran.io Logo
Filigran
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of experience in team management
  • Comfortable working in a remote, async-first environment
  • Strong technical skills with a large experience as Software Engineer, preferrably in JS (Node.js, React)
  • Proven capability of working with different stakeholders and good time management
  • Autonomy, ownership, and team spirit
Job Responsibility
Job Responsibility
  • Is responsible for the team mindset and happiness
  • Must conduct correctly the 1:1 and the annual evaluation with help of SE
  • Is responsible of the evaluation, the objectives and the expectations to help its team to achieve their career path
  • Must be aware at all time of the progress on any ongoing task within the team
  • Is accountable for the ETAs of all ongoing tasks within the team
  • Must challenge product on definitions, needs, timing & roadmap
What we offer
What we offer
  • Competitive pay + equity
  • Remote-first, flexible, and balanced work
  • Your setup, your choice — pick the gear that works for you
  • Fulltime
Read More
Arrow Right

Data & Cvml Manager, Autonomy

We are developing autonomy for off-road construction vehicles, including autonom...
Location
Location
United States , Santa Clara
Salary
Salary:
192000.00 - 287000.00 USD / Year
bluerivertechnology.com Logo
Blue River Technology
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in relevant fields
  • Excellent technical communication skills, getting and providing context from/to multiple cross-functional teams
  • Prior experience leading small technical teams while remaining hands-on
  • Proven track record deploying ML models to edge platforms, specifically NVIDIA Jetson / Orin
  • Experience with TensorRT optimization and inference performance tuning
  • Deep understanding of data-centric ML and dataset quality management
  • Strong production experience with Python and PyTorch
Job Responsibility
Job Responsibility
  • Own the full perception ML stack, from data ingest and labeling strategy through training, validation, deployment, and on-vehicle inference
  • Lead development of segmentation and depth estimation systems for off-road autonomy
  • Design and ship production-grade models using Python and PyTorch
  • Deploy and optimize models on NVIDIA Jetson / Orin, including TensorRT optimization and runtime profiling
  • Ensure models meet real-time, reliability, and resource constraints required for safety-critical systems
  • Own the data lifecycle: collection, mining, curation, labeling, versioning, and governance
  • Drive active learning pipelines to surface failure cases, edge conditions, and high-impact training data
  • Ensure dataset coverage aligns with operational risk, environmental diversity, and product priorities
  • Own the definition, interpretation, and usage of autonomy performance metrics across the fleet
  • Leverage and evolve the existing DFA Dune fleet analytics dashboard to ensure it reflects real-world robot behavior
  • Fulltime
Read More
Arrow Right

Sr. Manager Software Engineering - Experience Prototyping

As Senior Manager, Software Engineering – Experience Prototyping, Vehicle Produc...
Location
Location
United States , Mountain View; Warren
Salary
Salary:
238700.00 - 365700.00 USD / Year
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of professional software engineering experience across web, mobile, and/or embedded platforms
  • 5+ years of experience as a people leader, including leading multiple teams and/or engineering managers in complex, matrixed environments
  • Demonstrated experience leading innovation, prototyping, or early-stage product discovery efforts, not only production delivery
  • Strong technical foundation in modern full-stack development, with the ability to evaluate architecture, design, and code across front end, back end, and mobile
  • Experience decomposing broad concepts into clear work items and experiments that engineering teams can execute rapidly
  • Exceptional strategic thinking and the ability to connect customer needs, technical possibilities, and business outcomes
  • Understanding of user-centered design principles and experience collaborating closely with UX/UI/ID teams
  • Excellent communication and presentation skills, with the ability to influence and engage stakeholders at all levels, including senior leadership
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field, or equivalent experience
Job Responsibility
Job Responsibility
  • Lead the Experience Prototyping engineering team to deliver high-impact prototypes and experiments and provide direct leadership to 4 engineering leads and their respective teams
  • Own Experience Prototyping's relationship with mainline software engineering to ensure team compliance and utilization of GM's software engineering standards and best practices while ensuring the team's autonomy and creativity related to experience and prototype development
  • Partner with Experience Prototyping Product, Design, and Hardware Engineering leaders in support and optimization of a framework that translates ambiguous concepts into clear hypotheses, experiments, and prototype work
  • Ensure prototypes are sound with clear paths for handoff to product and delivery teams as appropriate
  • Lead, develop, and retain a high-performing, inclusive engineering team
  • Represent Experience Prototyping engineering in senior cross-functional forums, using evidence from experiments to influence product, platform, and investment decisions
  • Be responsible for software engineering costs and reporting for the Experience Prototyping team
  • Fulltime
Read More
Arrow Right

Manager Clinical Engineering Asset Investment Recovery

Manager Clinical Engineering Asset Investment Recovery FT
Location
Location
United States , Charlotte
Salary
Salary:
47.50 - 71.25 USD / Hour
advocatehealth.com Logo
Advocate Health Care
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in business, Clinical Engineering, Finance, or related field
  • Typically requires 5 years of experience in a healthcare setting for equipment sales, supply chain operations, and sourcing/procurement
  • Ability to manage complex issues, drive incremental savings on contracts and sourcing, and develop strategic relationships
  • Advanced understanding of contract management process and procedures, to include understanding of contract terms and conditions
  • Ability to support internal and external customers
  • Understanding basic accounting concepts
  • Ability to perform financial analysis
  • Strong verbal and written communication
  • presentation skills
  • Must be able to utilize PowerPoint, Excel, and other data analytics platforms proficiently (including functions and formulas)
Job Responsibility
Job Responsibility
  • Responsible for overseeing and managing the enterprise Clinical Engineering Asset Investment and Recovery (AIR) program operational functions and staffing, in turn to support the clinical engineering inventory management program across AH
  • Leads supervisory, professional, and front line staff
  • Responsible for the development and implementation of policies and procedures for the Asset Investment Recovery Program
  • Monitors the system policies and procedures for continued effectiveness and recommends changes when needed
  • Oversees the analysis of trade-ins, sold, donated, and redeployed assets within the Asset Investment Recovery process to assure the proper procedure and disposal method is selected as applicable that will maximize investment recovery
  • Oversees and manages the retirement and disposal process of specialized fixed assets engaging with applicable departments and teams for ensuring coordinating the de-installation, removal, and disposal process for facilities within Advocate Health
  • Proactively seeks methods to educate, communicate and champion the Asset Investment Recovery program throughout Advocate Health
  • Works in conjunction with Supply Chain, Clinical Engineering Capital Equipment Services, Clinical Engineering Support Operations, and Advocate Health Finance, to develop and maintain financial reporting tools, to include but not limited to reports of sales by vendor, average sales revenue by equipment type, transfer/redeployed equipment savings, and any other cost avoidance achieved through the Asset Investment Recovery program efforts
  • Assists in analysis of reports to determine program suitability and best disposal recommendations
  • Assists in the development of marketing plans, establishment of selling prices and actively seeking and maintain a national customer base for surplus sales and equipment donations
What we offer
What we offer
  • Paid Time Off programs
  • Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability
  • Flexible Spending Accounts for eligible health care and dependent care expenses
  • Family benefits such as adoption assistance and paid parental leave
  • Defined contribution retirement plans with employer match and other financial wellness programs
  • Educational Assistance Program
  • Fulltime
Read More
Arrow Right

Project Manager - Energy/Civil Engineering

This is an exceptional opportunity to join one of the UK’s fastest growing contr...
Location
Location
United Kingdom , Cardiff
Salary
Salary:
Not provided
knightsbrown.co.uk Logo
Knights Brown
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Attend tender handover meeting to understand the project deliverables, including contract obligations, project scope & methodology, identified customer priorities (win themes) and risk & opportunities
  • Organise and attend customer meetings, throughout the lifecycle of the project to ensure identified targets and expectations are being met or exceeded
  • Manage pre start meetings of subcontract packages in line with programme and build requirements
  • Develop, monitor and evaluate a risk and opportunity register for the project, ensuring site teams are focused on these priorities
  • Ensure our brand is portrayed positively taking into consideration our company guidelines
  • Lead the site team to adopt the approach outlined in the Right Work Code, creating a safe environment in which to work with an uncompromising attitude towards achieving quality
  • Lead the planning of the project to ensure the effective use, resourcing and control of equipment, manpower, materials and transport is achieved
  • Review the project and target programmes with the site team to ensure activities are aligned to the planned sequencing of works, and an awareness of lead times for design and procurement is in place
  • Oversee implementation of works to programme requirements
  • Work closely with the commercial team throughout the project, to establish and monitor a contract performance forecast and obtain an accurate picture of projected value and forecast costs
Job Responsibility
Job Responsibility
  • Ensure projects are delivered successfully, relationships with our customers are enhanced, project teams supported and priorities achieved to meet our business objectives
  • This role will have autonomy to deliver complex, higher valued projects for the business
Read More
Arrow Right