CrawlJobs Logo

Analytics Engineer, AV Safety Engineering

United States · Job Posted June 14, 2026
Apply Position
Job Link Share

Job Description

Work arrangement: Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times per week, at minimum. The Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department is part of GM's Global Product Safety, System, and Certification organization. Our mission is to help GM deliver trustworthy automated-driving products. As the central authority for automated driving system safety, SAFE-ADS brings together experts from across the company to develop and maintain a comprehensive safety case, including safety performance indicators for GM's automated-driving technologies. GM's vision is zero crashes, zero emissions, and zero congestion, and autonomous vehicle safety is essential to achieving that vision. The AV Safety Engineering Analytics team supports safety-related decision-making across GM by developing analytics, metrics, and evidence from vehicle, simulation, and external data sources. The team supports both proactive safety monitoring and targeted investigations, and works across stakeholder groups to support engineering, validation, verification, and program decisions by turning complex technical data into usable guidance.

Job Responsibility

  • Define, prototype, and productionize safety and performance metrics for automated driving systems
  • Establish analytic approaches and sufficiency criteria that support safety assessment, development decisions, and launch readiness
  • Support proactive safety monitoring and targeted investigations tied to specific system-performance or safety questions
  • Support systems, safety, testing, and verification stakeholders by comparing real-world and simulation-based results, identifying gaps, and helping improve the representativeness of evaluation methods
  • Apply engineering and physics-based methods to process raw signals and derive meaningful representations of vehicle motion, driving context, and system behavior
  • Distinguish sensor or pipeline errors from meaningful real-world outliers using engineering judgment and data validation methods
  • Create interactive visualizations and reporting artifacts that communicate safety insights clearly, enhance transparency, and reduce barriers to interrogating source data in support of technical decision-making
  • Build and maintain analytics infrastructure that supports safety assurance across development, validation, and deployment
  • Develop reliable pipelines that ingest, transform, analyze, and publish data from vehicle systems, internal databases, simulation outputs, and external sources
  • Optimize analytics code and workflows for scalable, automated cloud execution

Requirements

  • Bachelor's degree in Computer Science, Mechanical Engineering, Vehicle Engineering, Physics, or a related field, or equivalent practical experience
  • 5+ years of experience analyzing large-scale driving, vehicle, robotics, or similar engineering data
  • 5+ years of experience in ADAS, autonomous vehicles, robotics, or a related technical domain
  • Experience with statistics relevant to large-scale engineering data analysis, including sampling, bias management, and experimental design
  • Experience transforming noisy time-series or sensor data into analysis-ready features or metrics
  • Strong problem-solving skills and a proactive, learning-oriented mindset
  • Strong communication and collaboration skills, with the ability to work effectively across technical teams
  • Strong programming skills in Python and SQL
  • Experience building and operating cloud-based analytics or data-processing workflows at scale

Nice to have

  • Experience analyzing large-scale vehicle motion, driving context, automated-driving performance, or simulation data
  • Experience with driver behavior modeling, human performance benchmarking, causal inference, or counterfactual modeling techniques
  • Experience with systems engineering, verification and validation, simulation-based evaluation, scenario analysis, or work that bridges simulation and on-road safety assessment
  • Experience building stakeholder-facing dashboards or interactive analytics products
  • Experience with cloud or distributed data platforms, or with DevOps, CI/CD, containerization, or infrastructure-as-code workflows
  • Publications, conference participation, or other demonstrated engagement in vehicle-safety, safety-analytics, or related technical work

Looking for more opportunities?

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

Similar Jobs for

Analytics Engineer, AV Safety Engineering

8 matching positions

Engineering Manager - Autonomy Evaluation

General Motors is a global leader in advanced driver assistance. With Super Crui...
Location
Location
United States , Sunnyvale
Salary
Salary:
185100.00 - 284100.00 USD / Year
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
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
Job Responsibility
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
What we offer
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
  • Fulltime
Read More
Arrow Right

Software Engineer, Autonomy Behavior Validation

As a Software Engineer on the Software Validation team within the AV organizatio...
Location
Location
United States , Sunnyvale
Salary
Salary:
123200.00 - 189100.00 USD / Year
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree in Computer Science, Software Engineering, Data Science, or related fields
  • 1–3 years of professional software engineering experience (including internships, co-ops, or research engineering roles) building automation, internal tools, or data/analysis pipelines
  • Using large language models (LLMs) to summarize results, generate reports, or accelerate analysis
  • Building simple agents or scripts that chain tools together to complete tasks end-to-end
  • Strong programming skills in Python and experience with SQL
  • Experience writing clean, well-tested, and maintainable code for data processing, backend services, or scientific/analytical workflows
  • Experience working with large datasets to derive insights, build analyses, or drive decisions
  • Strong analytical thinking skills with the ability to interpret data and derive impactful conclusions
  • Ability to adapt and operate under ambiguity, going from quick code prototypes to longer-term, production-ready solutions on brief time horizons
  • Excellent communication skills, capable of switching between high-level and detailed technical discussions
Job Responsibility
Job Responsibility
  • Design and deploy metrics and test strategies at scale to evaluate the behavior of autonomous vehicles in simulation and on-road
  • Translate validation strategies into production-quality code and automation pipelines that execute high-quality AV behavior analysis for continuous and scaled software release cycles
  • Leverage AI-assisted and agentic workflows to build internal tools and frameworks that make it easier to author, configure, and deploy metrics, tests, and validation artifacts
  • Ensure the quality and reliability of behavior validation outputs through monitoring, alerting, automated checks, and continuous improvement of the underlying code and data pipelines
  • Collaborate across teams to establish coding and automation best practices for the Software Validation organization
  • and understand stakeholder needs and translate them into robust tools and workflows
What we offer
What we offer
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance
  • medical
  • dental
  • vision
  • Health Savings Account
  • Flexible Spending Accounts
  • retirement savings plan
  • sickness and accident benefits
  • life insurance
  • paid vacation & holidays
  • Fulltime
Read More
Arrow Right

Staff ML Validation Applied Scientist

As a Staff ML Validation Applied Scientist on the Software Validation team withi...
Location
Location
United States , Sunnyvale
Salary
Salary:
218800.00 - 335300.00 USD / Year
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience and MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science, or a related field
  • Strong proficiency in Python and at least one systems language (e.g., C++), with experience building production systems over large datasets
  • Deep understanding of and experience evaluating modern ML for robotic systems
  • Hands-on experience using AI agents, LLM-based tools, or workflow orchestration to automate parts of the development, validation, or operations lifecycle
  • Demonstrated ability to design and implement behavioral and ML metrics and associated tooling for validation and regression detection of complex ML systems
  • Strong analytical skills and systems thinking
  • able to reason about complex AV behavior and ML model interactions and turn insights into code and tools
  • Effective communicator who can work across teams and provide technical leadership and mentorship to other engineers and researchers
Job Responsibility
Job Responsibility
  • Lead ML-centric validation strategy for deep learning components across perception, prediction, and planning in AV, defining evaluation methodologies with cross-functional partners
  • Build AI validation critics and agentic acceleration workflows using LLM- and model-based agents plus orchestration to automate scenario review, anomaly detection, and end-to-end validation flows
  • Prototype ML research into scalable tools by transforming ML research into performant tools integrated into CI/CD and large-scale pipelines, owning key behavior and ML validation services and data pipelines
  • Drive simulation-based ML evaluation at scale by evaluating deep learning modules in realistic sensor and traffic simulation and expanding behavioral and scenario coverage tightly linked to ML models
  • Provide cross-functional collaboration and leadership across Simulation, Safety, Systems Engineering, Autonomy, and tools teams through reviews, roadmapping, standards, and mentorship focused on high-quality, automation-first software
What we offer
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
  • Fulltime
Read More
Arrow Right

Staff Product Manager - ADAS Portfolio & Cost Optimization

Staff Product Manager to help lead complexity and cost‑reduction initiatives acr...
Location
Location
United States , Warren
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of product management or closely related experience, with demonstrated ownership of complex, cross‑functional initiatives
  • Proven ability to operate at both strategic and execution levels, establishing durable frameworks while driving tangible outcomes
  • Strong analytical and financial acumen, with experience evaluating cost, complexity, and value trade‑offs
  • Exceptional written and verbal communication skills, with the ability to influence senior stakeholders through clear, data‑driven narratives
  • Demonstrated success navigating ambiguity and complex organizational dynamics in large, matrixed organizations
  • Ability to work independently, exercise sound judgment, and proactively identify and resolve risks
  • Comfort engaging deeply with technical concepts and translating them for non‑technical audiences
Job Responsibility
Job Responsibility
  • Lead portfolio‑level initiatives focused on reducing system complexity and cost while preserving customer value, safety performance, and long‑term scalability across GM’s autonomous driving products
  • Define and maintain product frameworks that clarify scope, content expectations, decision rights, and trade‑off mechanisms across global AV programs
  • Partner with engineering, finance, purchasing, and program teams to evaluate cost, capability, and timing trade‑offs, manage deviations, and drive alignment to approved product strategies
  • Coordinate cross‑enterprise stakeholders to ensure a cohesive and scalable autonomous driving roadmap across regions, vehicle platforms, and technology generations
  • Translate strategic objectives into clear product narratives, requirements, and success metrics that guide execution teams and investment decisions
  • Serve as a trusted product liaison to adjacent organizations, ensuring alignment on AV content, sequencing, and expectations globally
  • Communicate product strategy, risks, and progress to senior leadership with clarity, data, and structured recommendations
  • Identify emerging risks and opportunities across the portfolio and proactively drive mitigation, simplification, or course correction
What we offer
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
  • Fulltime
Read More
Arrow Right

Reliability Engineer (Autonomous Vehicles)

You will be part of a core reliability team responsible for ensuring safe, stabl...
Location
Location
United States , Sunnyvale, California; Milford, Michigan
Salary
Salary:
123200.00 - 189100.00 USD / Year
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong proficiency in Python and SQL for automation, analysis, and data pipelines
  • Proven experience with CI/CD systems (GitHub Actions, Jenkins, GitLab, or equivalent)
  • Hands-on experience implementing ETL/ELT pipelines for reliability, quality, or system health monitoring
  • Solid understanding of reliability engineering concepts, including regression tracking, flakiness detection, and failure classification
  • Strong analytical and cross-stack debugging skills in large-scale software systems
  • Experience integrating simulation, HIL, or system-level test signals into automated analysis workflows
  • Track record of effective cross-functional collaboration across engineering, QA, and platform teams
  • Ability to operate autonomously in high-ambiguity, safety-critical environments
  • Excellent communication skills for presenting data-driven reliability insights to engineering and technical leadership
  • Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field—or equivalent experience
Job Responsibility
Job Responsibility
  • Own the reliability triage framework for the AV software stack, defining how failures from simulation, CI, and on-road validation are detected, categorized, and escalated into actionable insights
  • Perform deep debugging and root-cause analysis across autonomy software, ML pipelines, and system integrations, connecting failure symptoms to clear solution paths and corrective actions
  • Design and evolve automated triage mechanisms and reliability taxonomies, improving regression detection, flakiness identification, and signal quality as the system and models evolve
  • Build and govern reliability data pipelines, providing continuous visibility into stability trends, recurrence patterns, and systemic risks that impact release readiness
  • Translate reliability findings into decision-grade communication, influencing prioritization, technical debt reduction, and release confidence in partnership with engineering, safety, and systems stakeholders
What we offer
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
  • Fulltime
Read More
Arrow Right

Software Quality Triage Specialist

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ...
Location
Location
United States , Mountain View
Salary
Salary:
125000.00 - 140000.00 USD / Year
kodiak.ai Logo
Kodiak Robotics
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Engineering, Computer Science, or a related technical field
  • 3+ years of experience in triage and root cause analysis within the robotics or autonomous vehicle industry
  • Hands-on experience analyzing vehicle logs across perception, planning, and system-level behaviors
  • Solid understanding of AV sensors (e.g., cameras, lidar, radar) and how sensor performance impacts perception and planning
  • Demonstrated experience using simulation as part of the triage process to evaluate safety-related behaviors
  • Proven ability to investigate complex issues and drive them to root cause
  • Critical thinker with strong analytical and root cause analysis skills
  • Ability to quickly learn, adapt, and apply new concepts, tools, and workflows
  • Naturally curious, with the diligence to investigate unexpected behaviors and understand why they occur
  • Strong communication skills, including experience writing clear, concise, and thorough technical documentation
Job Responsibility
Job Responsibility
  • Learn to know the Kodiak Driver better than almost anyone else
  • Study and assess performance results of our autonomous trucks
  • Perform root cause analysis efficiently with high quality and minimal oversight
  • Identify and categorize failure modes of our system, file bugs, and track them through to resolution
  • Generate reports of overall performance to share with the team
  • Collaborate with operations and engineering teams to improve workflows and processes
  • Perform quality assurance on our labels to train and improve our algorithms
What we offer
What we offer
  • Competitive compensation package including equity and annual bonuses
  • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)
  • MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
  • Flexible PTO, 10 paid holidays, and generous parental leave policies
  • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
  • Long Term Disability, Short Term Disability, Life Insurance
  • Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)
  • Fidelity 401(k)
  • Commuter, FSA, Dependent Care FSA, HSA
  • Various incentive programs (referral bonuses, patent bonuses, etc.)
  • Fulltime
Read More
Arrow Right

Marketing Communications Lead

We’re looking for a strategic, technically fluent Marketing Communications Lead ...
Location
Location
United States , Sunnyvale
Salary
Salary:
Not provided
wayve.ai Logo
Wayve
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Solid foundation in PR, comms & content creation across media relations, social media, and brand messaging with over 5 years of experience in a marketing/communication role
  • Ability to translate complex topics into clear, concise communications tailored for different audiences
  • Skilled in supporting media engagement, pitching, and handling media inquiries
  • Strong organizational and project management skills, able to manage multiple tasks in a fast-paced environment and work across multiple timezone (JST, EST, GMT, CET)
  • Willingness to travel (national & international) to support marketing and communications activities
  • Bias for action and can own project from end to end
  • Self-sufficient and Ability to work independently, with remote team support
  • Excellent writing and editing skills with attention to detail
  • Resilient and optimistic in the face of adversity, viewing setbacks as learning experiences rather than failures
  • Strong interpersonal skills and a collaborative mindset to work across teams and functions
Job Responsibility
Job Responsibility
  • Support global communications strategy for Wayve, aligning with company milestones, research publications, GTM activities, and regulatory events
  • Craft compelling stories about our end-to-end AI models, simulation platforms, safety architecture, and fleet deployments - across blog posts, social media, videos, earned media, and investor-facing content
  • Translate deep tech into clear messaging, collaborating with ML researchers, AV engineers, and Product teams
  • Build and manage a cadence of high-impact announcements: partnerships, technical milestones, funding rounds, product launches and global expansions
  • Support exec comms, including social content, speech writing and panel briefing docs, for the Leadership team
  • Shape our voice and narrative around topics like AI safety, regulation, simulation, ADAS and automated driving, and the real-world impact of software-defined vehicles
  • Fulltime
Read More
Arrow Right
New

Shift Supervisor

We're building a world of health around every individual — shaping a more connec...
Location
Location
United States , Chantilly
Salary
Salary:
17.00 - 26.00 USD / Hour
https://www.cvshealth.com/ Logo
CVS Health
Expiration Date
August 09, 2026
Flip Icon
Requirements
Requirements
  • Deductive reasoning ability, analytical skills and computer skills.
  • Advanced communication skills and supervision skills
  • Ability to work a flexible schedule, including some early morning, overnight and weekend shifts, to work overtime as needed, and to respond to urgent issues at the store when they arise
Job Responsibility
Job Responsibility
  • Work effectively with store management and store crews
  • Supervise the store's crew through assigning, directing and following up of all activities
  • Effectively communicate information both to and from store management and crews
  • Assist customers with their questions, problems and complaints
  • Promote CVS customer service culture. (Greet, offer help, and thank)
  • Handle all customer relations issues in accordance with company policy and promote a positive shopping experience for all CVS customers
  • Maintain customer/patient confidentiality
  • Price merchandise
  • Stock shelves
  • Execute the displays, sign and inventory of weekly, promotional, and seasonal merchandise
What we offer
What we offer
  • dental
  • vision
  • wellness resources
  • employee discounts
  • access to certain voluntary benefits
  • other programs
  • Parttime
Read More
Arrow Right