Remote Technical Lead: Sensor Systems for Autonomy

generalmotors; Sunnyvale (CA); Hybrid; USD 189,000 - 291,000; Full time

Benefits offered by this job

Company vehicle program

Relocation benefits

Bonus potential

Job summary

General Motors in Sunnyvale seeks an experienced Technical Lead Manager to steer sensing-system evaluation architecture for camera, LiDAR, and RADAR, integrating models into simulation and validation pipelines.

You will drive data-driven decisions, mentor engineers, and coordinate across sensing, perception, ML, and software teams, delivering scalable autonomy capabilities with strong leadership and technical influence.

Qualifications

• Bachelor’s degree in computer science, computer engineering, electrical engineering, systems engineering, robotics, mathematics, or a related technical field.
• Ten or more years of progressive experience in software engineering, systems engineering, machine learning, perception, robotics, autonomous vehicles, or a related field.
• A minimum of 1 year of experience leading a small team of engineers.
• Experience leading complex technical initiatives that span multiple engineering disciplines and require alignment across software, hardware, data, and systems teams.
• Strong programming ability in C++ and Python, including production-quality software, testable interfaces, debugging, and automation.
• Experience with machine learning workflows and at least one modern machine learning framework, such as PyTorch or TensorFlow.
• Understanding of camera, LiDAR, RADAR, or multimodal sensing systems and the engineering trade-offs that affect their performance.
• Experience using data, statistics, and structured experimentation to evaluate system behavior, identify failure modes, and support technical decisions.
• Ability to communicate complex technical concepts clearly in design reviews, technical documents, presentations, and cross-functional discussions.
• Demonstrated ability to work independently in ambiguous problem spaces, establish priorities, make sound technical judgments, and deliver measurable results.
• Experience working in an iterative software development environment, including code review, testing, version control, and agile planning.
• Demonstrated experience leading, coaching, or managing engineers and creating an inclusive, high-performing team environment.

Responsibilities

• Set the technical direction for sensing-system evaluation frameworks that measure performance, robustness, scalability, and readiness across representative driving conditions.
• Lead integration of camera, LiDAR, RADAR, and related sensor models into simulation and evaluation environments. Define fidelity, performance, and usability targets for large-scale experimentation.
• Build statistical and empirical methods that complement physics-based analysis. Use experiment design, confidence measures, failure analysis, and trend analysis to characterize sensor and perception performance.
• Generate and manage synthetic data at scale from road-data replay, simulation, and scenario-generation pipelines. Partner with sensing and perception engineers to translate requirements into useful datasets.
• Design data augmentation and scenario coverage for challenging conditions such as nighttime, rain, snow, fog, sensor contamination, sensor cleaning, occlusion, glare, and other sources of performance degradation.
• Work with machine learning and perception teams to make synthetic and recorded datasets suitable for model training, evaluation, regression testing, and failure analysis. Lead initial model retraining or pipeline demonstrations when needed to reduce end-to-end technical risk.
• Integrate new sensor components and candidate sensing architectures into the autonomous driving software stack. Identify interface, configuration, performance, and maintainability risks across software releases.
• Define and improve developer tools for running sensing experiments, including application programming interfaces, command-line tools, notebooks, automated workflows, and dashboards that communicate results to technical and program leaders.
• Develop evaluation metrics and reporting that connect sensor performance to system-level requirements, safety objectives, perception outcomes, and architecture trade-offs.
• Lead technical reviews and cross-domain initiatives from ambiguous requirements through design, implementation, validation, and adoption. Build alignment across teams with different objectives, constraints, and levels of technical detail.
• Identify opportunities to improve software architecture, test coverage, data quality, automation, and engineering productivity. Convert lessons learned into repeatable processes and reusable infrastructure.
• Mentor engineers and raise the bar for software quality, technical communication, experimental rigor, and ownership.
• Hire, coach, develop, and retain a small but high-performing team while maintaining hands-on technical leadership and accountability for delivery.

Skills

C++

Python

Machine Learning

Robotics

ROS

Education

Bachelor's degree in CS/Engineering

Tools

Linux

CI/CD

Job description

General Motors in Sunnyvale seeks an experienced Technical Lead Manager to steer sensing-system evaluation architecture for camera, LiDAR, and RADAR, integrating models into simulation and validation pipelines.

You will drive data-driven decisions, mentor engineers, and coordinate across sensing, perception, ML, and software teams, delivering scalable autonomy capabilities with strong leadership and technical influence.