Benefits:

• Equity grants

• Health insurance/dental insurance/vision insurance

• Retirement plans

• FSA

• Parental leave

Benefits:

• Equity grants

• Health insurance/dental insurance/vision insurance

• Retirement plans

• FSA

• Parental leave

Benefits:

• Equity grants

• Health insurance/dental insurance/vision insurance

• Retirement plans

• FSA

• Parental leave

Benefits:

• Equity grants

• Health insurance/dental insurance/vision insurance

• Retirement plans

• FSA

• Parental leave

Benefits:

• Equity grants

• Health insurance/dental insurance/vision insurance

• Retirement plans

• FSA

• Parental leave

Benefits:

• Equity grants

• Health insurance/dental insurance/vision insurance

• Retirement plans

• FSA

• Parental leave

Benefits:

• Equity grants

• Health insurance/dental insurance/vision insurance

• Retirement plans

• FSA

• Parental leave

Benefits:

• Equity grants

• Health insurance/dental insurance/vision insurance

• Retirement plans

• FSA

• Parental leave

Benefits:

• Equity grants

• Health insurance/dental insurance/vision insurance

• Retirement plans

• FSA

• Parental leave

Benefits:

• Equity grants

• Health insurance/dental insurance/vision insurance

• Retirement plans

• FSA

• Parental leave

Experience Requirements:

• Experience with multi-modal detection fusion and tracking algorithms

• Strong understanding of computer vision and perception systems

Responsibilities:

• Design and implement detection fusion and tracking algorithms to improve perception performance in real time and offline pseudo-label generation using a combination of camera, radar and lidar data

• Benchmark and evaluate perception performance using quantitative metrics and testing methodologies

• Identify, troubleshoot, and resolve real-world perception issues encountered in autonomous driving scenarios

Benefits:

• Unlimited PTO

• Flexible working

• Health benefits

• Future building

• Professional development Company-sponsored professional development opportunities such as conferences, trainings, and workshops.

Experience Requirements:

• Minimum 5 years of program management experience.

• Proven track record of building and executing complex programs.

Responsibilities:

• Independently manage ongoing programs with key customers, Tier 1s, and OEMs.

• Gather and integrate project performance and progress information.

• Prepare detailed status reports which include: latest accomplishments, upcoming deliverables, project metrics, and risk analysis.

• Develop processes and procedures to improve functions within Operations.

• Prepare and update detailed project plans, deliverable timelines, KPIs and milestones.

Education Requirements:

• BS/MS/PhD in Computer Science, Computer Engineering, Electrical Engineering or related fields

Experience Requirements:

• 3+ years of industry experience

• Experience with AI inference computing optimization, quantization, model pruning techniques

Responsibilities:

• Deploy, optimize and accelerate machine learning models on various computing platforms from e.g. Nvidia, TI, Ambarella etc

• Implement compiler support to maximize inference performance

Education Requirements:

• MS or PhD in Computer Science, Electrical Engineering, Robotics, similar technical field of study, or equivalent practical experience

Responsibilities:

• Develop 3D visual reconstruction of highway and urban driving scenarios including static scenes and dynamic objects

• Identify unique and high-value driving scenes to maximize data labeling efficiency, class distribution imbalance (long-tail) challenges in autonomous driving

• Develop a distributed and automated pipeline for large scale scene reconstruction and automatic label generation

• Curate high-quality dataset for autonomous driving scenarios and design robust evaluation metrics

Education Requirements:

• BS, MS, or PhD in Software, Robotics, or related field

Experience Requirements:

• 4+ years of machine learning engineering experience for robotics applications

Responsibilities:

• Use complex map and perception sensor output to develop novel deep learning models for our planning stack.

• Design critical safety checks to ensure driving trajectories are feasible and follow rules of road.

• Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments.

• Track and incorporate the latest multidisciplinary research advancements in a fast-moving field.

Education Requirements:

• MS or PhD in Computer Science or equivalent practical experience

Experience Requirements:

• 7-10 years of experience building data-driven, fault-tolerant systems

• Proven record of delivering a DL based system

Responsibilities:

• Develop safety-critical software for self-driving vehicles by leading, managing, and expanding a team focused on the motion forecasting & planning.

• Assume responsibility for the overall planning, execution, and success of autonomous driving related projects Actively code and develop prototypes to test novel algorithms and ideas.

• Foster a culture of experimentation and innovation, while promoting technical excellence and accountability within the team.

Education Requirements:

• MS (with 5+ years of relevant experience) or PhD (with 2+ years) in mechanical, electrical, aerospace engineering, physics, computer science, or a related field.

Experience Requirements:

• Extensive experience applying deep learning techniques to time series forecasting and data analysis.

• Strong understanding of conventional vehicle dynamics modeling.

Responsibilities:

• Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques.

• Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy.

• Integrate the data-driven models into simulation pipelines with seamless compatibility.

• Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates.

Education Requirements:

• Masters Degree in Computer Science, Mechatronics, Electrical Engineering, or a related field.

Experience Requirements:

• At least 3 years of hands-on experience in RTOS, including AUTOSAR and FreeRTOS.

Responsibilities:

• Implement requirements and designs for automotive software components related to communication, diagnostics, cybersecurity, operating systems, or bootloaders or AUTOSAR.

• Work in RTOS, linux kernel, and C/C++ SW stack layers responsible for our functional safety and security concept.

• Integrate RTOS components, conduct profiling, tracing, and systematic error analysis.

• Configure, generate, and integrate AUTOSAR modules on different microcontroller platforms.

Education Requirements:

• Degree in CS, ME, EE, Mechatronics or related field.

Experience Requirements:

• 3+ years experience developing safety critical embedded systems.

• 5+ years experience in automotive systems development or similar

Responsibilities:

• Work in coordination with global engineering teams to define vehicle-level self-driving requirements.

• Define system reliability and robustness requirements for the autonomous ECU, sensor set and electrical interfaces.

• Conduct Hazard Analysis & Risk Assessment (HARA) reviews of autonomous systems/features.

• Conduct Failure Mode and Effect Analysis (FMEA) reviews of autonomous systems/features.

Education Requirements:

• MS in Computer Science, Electrical Engineering, or related field

Experience Requirements:

• 3+ years of software engineering experience with a focus on ML infrastructure or distributed systems.

Responsibilities:

• Design and develop scalable, high-performance systems for training, inference, deploying, and monitoring ML models at scale.

• Build and maintain efficient data pipelines, model versioning systems, and experiment tracking frameworks.

• Collaborate with cross-functional teams, including ML researchers and engineers, to identify bottlenecks and improve platform usability.