Manager, Autonomy Systems Validation Job at General Motors (Milford, Michigan)

Engineering Manager - Autonomy Evaluation

General Motors is a global leader in advanced driver assistance. With Super Crui...

Location

United States , Sunnyvale

Salary:

185100.00 - 284100.00 USD / Year

General Motors

Expiration Date

Until further notice

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

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

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

Applied ML Validation Manager

As an Applied ML Validation Manager on the Software Validation team within the A...

Location

United States , Sunnyvale

Salary:

218000.00 - 335000.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

8+ years of experience and MS/PhD in Computer Science, Machine Learning, Robotics, Software Engineering, Data Science, or a related field
2+ years of people management experience leading engineering, validation, or applied ML teams
Strong programming and data skills in Python and common analysis/ML tooling (e.g., PyTorch)
Demonstrated experience designing and operating evaluation/validation pipelines for complex ML systems
Proven ability to define, implement, and track metrics that capture system quality, reliability, safety, or user experience

Job Responsibility

Lead and grow an Applied ML validation team focused on behavior evaluation and human benchmarking for autonomy ML systems
Define the strategy and roadmap for evaluating ML behavior against human-like driving expectations across simulation, replay, and on-road environments
Design, implement, and operate behavior critic frameworks that assess model actions and trajectories, turning qualitative human feedback into structured labels, metrics, and scorecards
Develop and scale human benchmarking programs, including rater guidelines, calibration, and quality controls, to compare ML system performance against expert and typical human drivers
Partner closely with autonomy, simulation, safety, and product teams to integrate behavior critic and human benchmarking outputs into training, offline validation, release gating, and reporting

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

Product Manager - Autonomy

The Product Manager - Autonomy is responsible for defining, prioritizing, and sh...

Location

United States , Los Angeles; Atlanta

Salary:

160000.00 - 220000.00 USD / Year

Hermeus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Engineering, Software Engineering, Aerospace Engineering, Robotics, or a related technical field
10+ years of experience delivering autonomy, mission systems, UAS, robotics, or flight-critical platforms
Experience working with Cameo Systems Modeler, SysML, and building MBSE models
Demonstrated experience defining and delivering complex system capabilities across multiple teams
Strong familiarity with OMS, UCI, ICD-driven development, and service-based mission architectures
Understanding of autonomy behaviors, planners, state machines, contingency management, and operator interaction models
Experience working across simulation, integration, and flight-test environments
Strong cross-functional communication skills with engineers, operators, and program leadership
Active Secret clearance required
TS/SCI preferred

Job Responsibility

Autonomy product definition and strategy
Capability decomposition and integration intent
Interfaces, standards, and alignment
Translation of operational needs into product requirements
Simulation, test, and flight enablement
Autonomy–vehicle interaction alignment
Verification, validation, and readiness support
Cross-team product leadership
External engagement and customer interface

What we offer

Unlimited PTO policy
Paid parental leave
Potential for year-end bonuses
100% employer-paid health care
401k & Retirement Plans
Weekly Paid Office Lunches
Fully stocked breakrooms
Stock Options

Fulltime

Data & Cvml Manager, Autonomy

We are developing autonomy for off-road construction vehicles, including autonom...

Location

United States , Santa Clara

Salary:

192000.00 - 287000.00 USD / Year

Blue River Technology

Expiration Date

Until further notice

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

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

Senior iOS Developer

The Digital S/W Engineer Sr Analyst is a seasoned professional role. Applies in-...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5+ years of professional experience in native iOS mobile application development
5+ years of hands-on experience with Swift
5+ years of experience building and shipping enterprise-grade native iOS applications at scale
Deep understanding of the iOS SDK, platform lifecycle, and Apple ecosystem
Strong understanding of iOS internals — memory management (ARC), run loops, and app lifecycle at a low level
Experience with networking layers, URLSession, and custom network stack implementations
Proficiency with data persistence strategies
Solid understanding of security best practices at the OS level
Familiarity with performance profiling and optimization using Instruments
Solid hands-on experience with multi-threading and concurrency — GCD

Job Responsibility

Accountable for executing and driving mid-size feature application design and development efforts
Proficient at operating with considerable autonomy and discretion
Sought after due to ability to analyze and troubleshoot coding, application performance and design challenges
Capable of research in root cause of development and performance concerns
Have a deep understanding of the technical requirements for the solutions being built
Understand engineering needs
Proficient in information modeling, data structures and algorithms
Understand maintenance characteristics, runtime properties and dependencies
Demonstrate an advanced understanding of supported main system flows
Participate in design discussions as a Development Lead

Fulltime

New

Senior Local Operations Manager - Oncology Solid Tumor - Home Based

The Senior LOM role is a site aligned E2E partner to streamline communication ac...

Location

United States , Blue Bell

Salary:

Not provided

iconplc

Expiration Date

Until further notice

Requirements

BA/BS degree
Degree in a health or science related field
3 - 5+ years of trial end to end management experience
Solid Tumor Oncology experience required
Strong working knowledge of ICH-GCP, company standard operating procedures, local laws and regulations, assigned protocols and associated protocol specific procedures
Strong IT skills in appropriate software and company systems
Proficient in speaking and writing the country language and English
Good written and oral communication skills as appropriate
Applicants must be legally authorized to work in the United States and should not require, now or in the future, sponsorship for employment visa status

Job Responsibility

Serves as the primary point of communication for sites, facilitating internal client teaming to drive issue resolution
Intimately understands site operational model and owns relationships with critical site stakeholders to provide a voice for the site to the client's teams
Contribute to quality Site Selection through participation in site feasibility ensuring consistent conduct of site qualification visits and appropriate follow-up of site qualification visit report and country feasibility report
collaborates with central study team and local stakeholders as applicable for final selection of sites to participate in trial
Ensures local/country team is meeting recruitment targets with high quality data on time and within study budget by providing input to study level documents and leading/coordinating local team activities in compliance with SOPs, other procedural documents and applicable regulations
Act as primary company contact for assigned trial sites, engaging with Investigator and Site Staff throughout the life of the trial
Focuses on investigator engagement through timely follow up with sites
promptly communicates relevant status information and issues to appropriate stakeholders
Drive study compliance by maintaining and updating trial management systems, using study tools and management reports available to analyze trial progress
when necessary initiates corrective and preventive actions (CAPA) when the trial deviates from plans and communicates study progress and issues to study management teams and Quality & Compliance team

What we offer

Various annual leave entitlements
A range of health insurance offerings to suit you and your family’s needs
Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead
Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family’s well-being
Life assurance
Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others

Sr. Engineer - PPME Crankshaft (Machining Engineer)

Sponsorship:  GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE....

Location

India , Bengaluru

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Mechanical / Production / Industrial / Automobile Engineering
5+ years of Experience in Automobile / Mechanical allied Engineering Industry
Good knowledge of Automotive Vehicle / Propulsions System processes and product launch
Good working knowledge of Teamcenter, NX, Vis-mockup, AutoCAD, MS Project and MS Office applications
Sound understanding of GPDP, Quality Chain & PFMEA
Sound knowledge of Project Management methodologies (Waterfall, Agile)
Sound knowledge of GM-GMS Principles and Workplace safety systems
Good knowledge of process parameters (speeds & feeds), cutting tools / fluids and applications
Good knowledge of crankshaft and other major engine components manufacturing processes
Good knowledge of crankshaft critical processes such as Deep rolling, heat treatment, Laser hardening, Nitriding, Grinding, Polishing, Balancing and final inspection, Cleanliness, Preservation & packaging etc.

Job Responsibility

Lead manufacturing process assessments as per GM’s BOP (casting/forging, Crankshaft machining and assembly processes.) during supplier development & manufacturing readiness check
Support SQ in risk identification and mitigation (PFMEA, Control Plans)
Support quality concern & open issues resolution (dimensional issues, cracks, surface finish, hardness, fatigue) at supplier
Support supplier product development GxDP / APQP milestones (e.g., sourcing, tooling kickoff, pilot builds). during execution, for fixture, tooling & process, fixture etc., measurement issues
Participate in PDT meetings & ensure alignment between SQ, GPS ME & Product Engineering requirements with supplier
Support process changes (tooling, line balancing, capacity expansion)
Support launch and post-SOP stability
Support continuous improvement in scrap, rework, and throughput
As machining engineer, preparation of Estimations, SOR (Statement of Requirements) / RFQ (Request for quotation) for M&E (Machinery & Equipment)
Follow ME standard processes (PoME), align requirements according to BOP (Bill Of Process) / BOE (Bill Of Equipment). Raise deviations and get approval based on requirement

Fulltime

Study Director - Extractables & Leachables

This is where new knowledge is discovered. Baxter’s Research and Development tea...

Location

Belgium , Braine-l'Alleud

Salary:

Not provided

Baxter

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a scientific discipline (ideally Chemistry or Biochemistry) with 10+ years of relevant experience, or Master’s degree with 5–7 years, or PhD with 3+ years of experience in a related field
Demonstrated experience in Extractables & Leachables studies
Strong background in analytical method development and validation
Solid knowledge of analytical techniques such as LC/MS/UV, GC/MS/FID, and ICP‑MS
Experience with chemical characterization standards for medical devices and container closure systems
Familiarity with global E&L regulatory expectations, particularly for medical devices and drug product packaging
Strong scientific judgment and critical thinking
Ability to lead complex studies with autonomy and rigor
Excellent communication and collaboration skills
Comfortable working in cross‑functional, multicultural teams

Job Responsibility

Design, direct, and oversee extractables and leachables studies for medical devices and drug product packaging
Author and review study protocols, reports, and technical documentation, incorporating input from subject matter experts
Lead method development, validation, and transfer activities in collaboration with internal teams and external laboratories
Develop E&L strategies aligned with regulatory pathways, biocompatibility requirements, and customer expectations
Ensure scientific justification of study designs and results to support innovative and compliant products
Review and interpret E&L data, identifying trends and correlations with materials of construction
Drive the structural identification of extractables and leachables
Collaborate closely with Biocompatibility and Toxicology teams on toxicological risk assessments
Work cross‑functionally with Chemistry, Regulatory Affairs, Toxicology, Manufacturing, Program Management, and external partners
Participate in regulatory interactions, including submissions, pre‑submission meetings, and responses to authority questions

What we offer

Support for Parents
Continuing Education/ Professional Development
Employee Heath & Well-Being Benefits
Paid Time Off
2 Days a Year to Volunteer

Fulltime

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Manager, Autonomy Systems Validation

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