Autonomous Driving

Autonomous Driving Engineer Jobs

5 jobs found

Today

Staff Machine Learning Engineer- Large Driving Model (LDM), Motion Planning, Autonomy

Rivian Palo Alto, CA

Palo Alto, CA

Today

Full time Artificial Intelligence Autonomous Driving Data Pipeline

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Job Description

Rivian is building next-generation autonomy capabilities, including a Large Driving Model (LDM) that will power the company’s Autonomy stack. In this onsite Staff role in Palo Alto, you’ll help move advanced driving intelligence from research into production-grade, on-road performance, while guiding technical decisions across the autonomy organization.

What You’ll Do

Own the full LDM lifecycle for targeted advanced driving capabilities, including data curation, post-training alignment, and rigorous evaluation pipelines.
Analyze and improve model design choices end to end, with a focus on high-quality supervision, robust validation, and scalable architectures that narrow the gap between offline training and on-road behavior.
Serve as a technical authority in Autonomy, providing definitive guidance on technology decisions, model architectures, and data strategies for current and future work.
Evaluate technology tradeoffs with awareness of business, safety, and operational implications, balancing them against company timelines and product needs.
Build scalable, extendable, collaborative ML systems and codebases, and establish best practices for the broader LDM team.
Influence technical roadmaps and drive consensus across perception, planning, and platform teams, including during complex discussions.
Lead the transition from development to deployment by deploying, supervising, and improving real-world on-road performance of your models in customer vehicles.

What You Bring

M.S. or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field.
7+ years of industry experience delivering complex, production-grade Machine Learning systems, with a demonstrated track record at Staff or Lead level.
Expert-level hands-on experience with Python and PyTorch.
Experience with large-scale distributed training frameworks is highly preferred.
Deep expertise in state-of-the-art foundation models, including post-training methods such as fine-tuning and alignment, plus experience applying these ideas to perception, prediction, or planning for autonomous driving or robotics.
Proven ownership of ML data verticals, including data curation, synthetic data generation, and building robust evaluation frameworks for complex behavioral models.
Strong fundamentals in linear algebra, geometry, optimization, algorithms, and data structures.
Exceptional communication skills, including the ability to set technical direction, guide execution, and build consensus in a fast-paced environment.
Motivation to take ambiguous, complex ideas from development and validation into a verified, shipping product.
Hands-on approach: proactively finds systemic gaps and writes critical-path code when needed.
Prior experience with Automotive Self-Driving stacks or similarly complex, safety-critical robotics systems.

Technologies

Python
PyTorch

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4d ago

Senior Robotics Systems Software Engineer

Cyngn Mountain View, CA

Mountain View, CA

4d ago

$180k - $200k/yr Full time Senior Autonomous Driving Engineering

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Job Description

Senior Robotics Systems Software Engineer position on Cyngn’s Autonomy team, building and deploying software across the autonomous driving stack for industrial vehicles.

Responsibilities

Design, develop, test, and deploy autonomy software for industrial vehicles, covering behavior and decision-making, motion planning, controls, and vehicle systems
Develop and maintain production-quality C++ and Python software running on Cyngn’s autonomous vehicle platforms
Develop and integrate algorithms for navigation, trajectory generation, vehicle control, obstacle handling, and autonomous behaviors
Integrate autonomy software with sensors, drive-by-wire systems, vehicle hardware, and other onboard software components
Bring up, validate, and debug software on real vehicles, tracing issues across autonomy modules, middleware, hardware interfaces, and vehicle behavior
Create simulation scenarios, testing infrastructure, metrics, and regression tests to validate autonomy behavior before deployment
Investigate field issues and edge cases, reproduce failures, identify root causes, and implement robust production fixes
Support deployment and validation at customer facilities, translating real-world observations into autonomy stack improvements
Collaborate with engineers in Planning, Controls, Perception, Localization, Vehicle Infrastructure, Hardware, QA, and Operations
Contribute to architecture discussions, code reviews, technical design, and continuous improvement of the autonomy software

Requirements

BS, MS, or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a related technical field, or equivalent practical experience
3+ years of hands-on experience developing software for robotics, autonomous vehicles, or other autonomous systems
Strong proficiency in modern C++ and working proficiency in Python
Hands-on experience developing, testing, and deploying software on real robotic systems
Experience with ROS/ROS2 or comparable robotics middleware
Working knowledge of core robotics concepts including coordinate frames, kinematics, state estimation, motion planning, feedback control, and sensor integration
Strong systems-level understanding of how autonomy components interact with each other and with vehicle hardware
Experience debugging complex robotic systems where failures can span multiple software modules or hardware interfaces
Strong software engineering fundamentals: algorithms, data structures, software architecture, testing, and code review
Strong communication and problem-solving skills, with the ability to work across multiple engineering disciplines

Technologies

C++
Python
ROS
ROS2
Linux
Git
Docker
CMake

Bonus Qualifications

Technical depth in at least one area of robotics or autonomous systems: behavior and decision-making; motion planning; vehicle or motion control
Experience developing autonomous vehicles, mobile robots, industrial robots, or similar systems
Experience with behavior trees, state machines, or other architectures for autonomous decision-making
Experience with search-based or sampling-based motion planning methods such as A*, Hybrid A*, RRT, or related algorithms
Experience with feedback control, vehicle dynamics, trajectory tracking, MPC, or optimization-based control
Experience with simulation environments and automated autonomy testing
Experience integrating sensors, actuators, drive-by-wire systems, or embedded/real-time components
Experience developing tooling, metrics, and CI/CD infrastructure for robotic systems
Familiarity with Linux, Git, Docker, CMake, and modern software development workflows
Experience taking robotics functionality from prototype through validation and production deployment

First 90 Days

Build an understanding of Cyngn’s autonomy architecture, simulation environment, vehicle platforms, development workflow, and deployment process
Partner with engineers across autonomy, infrastructure, hardware, QA, and operations to trace representative vehicle behaviors and identify high-value reliability, integration, and test-coverage risks
Deliver one scoped production improvement (example: fix a well-understood autonomy defect, add a regression scenario, or improve diagnostic tooling) and validate it in simulation and, where appropriate, on a vehicle
Propose a prioritized plan for addressing one or two larger cross-stack risks, including candidate success metrics, data sources, and measurement approach

By 6 Months

Complete a production-quality autonomy improvement spanning two or more subsystem boundaries, accepted into a release candidate and/or deployed at production customer sites
Establish baseline metrics and demonstrate early improvement such as improved scenario pass rate, fewer interventions, reduced tracking error, or faster failure resolution
Add reusable simulation scenarios, regression tests, diagnostics, or validation tools incorporated into team release-candidate testing
Publish a technical design or process improvement reviewed and adopted by affected teams

By 12 Months

Demonstrate sustained, measurable production improvement against the six-month baseline through broader deployment and fleet monitoring
Own a significant autonomy capability from design through implementation, vehicle validation, deployment, and production monitoring
Improve team effectiveness through documentation, code and design reviews, and reusable cross-stack debugging practices
Demonstrate technical ownership via observable signals including reviewing one or two repositories, leading triage for a class of field issues, or maintaining adopted runbooks and tools used by other engineers

Benefits

Health benefits (Medical, Dental, Vision) through Aetna, Kaiser Permanente, and Guardian, with multiple plan tiers
Ancillary benefits including accident, critical illness, and hospital indemnity plans (Voya)
Company-paid basic life insurance, plus voluntary (supplemental) life for you and your dependents
Short-term and long-term disability insurance, fully paid by Cyngn
HSA and FSA (Health & Dependent Daycare)
Employee Assistance Program
1:1 Health Concierge
Company 401(k)
Commuter Benefits
Flexible PTO policy
Paid Parental Leave
Daily lunches for in-office employees and a fully-stocked kitchen with snacks and beverages

Interview Process

Application review by a real person
One-sided video interview
Recruiter touch point covering the process and answering questions
45-minute interview with the hiring manager
Full-loop interview process with 3-4 additional conversations to evaluate technical and soft skills and culture fit
Final onsite interview with the team

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6d ago

Software Engineer - ADAS Platform, Sensor Pipeline & AI Inference Optimization

Yoh, A Day & Zimmermann Company Newark, CA

Newark, CA

6d ago

$110 - $140/hr Full time Adas Automotive Software Autonomous Driving

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Job Description

Yoh, a Day & Zimmermann Company is seeking a Software Engineer to lead the development and optimization of next-generation ADAS platform software in Newark, CA. This onsite role focuses on sensor pipeline capabilities and AI inference optimization for real-time embedded systems, with an emphasis on performance across modern compute targets and safety-critical delivery.

The position includes building and tuning the software stack for multi-sensor ingestion, perception workflows, and efficient model execution, while collaborating with cross-functional teams to support automotive reliability and ISO 26262-aligned development practices.

Responsibilities

Design and optimize platform software supporting camera, radar, lidar, and ultrasonic vehicle sensor pipelines.
Build scalable middleware, frameworks, and infrastructure for ADAS and autonomous driving systems.
Optimize AI inference workloads using TensorRT, CUDA, ONNX Runtime, NVIDIA DriveWorks, and OpenCL.
Improve latency, throughput, memory utilization, and power efficiency through profiling and performance tuning.
Optimize perception, tracking, image processing, and sensor fusion pipelines across CPU, GPU, and hardware accelerators.
Develop deterministic real-time software for Embedded Linux and QNX platforms.
Design low-latency IPC, shared-memory, DMA, and zero-copy data movement frameworks.
Support ISO 26262 compliance, safety reviews, and automotive reliability requirements.
Collaborate closely with Perception, ML, Systems, Hardware, and Functional Safety teams.

Requirements

10+ years of software development experience.
5+ years in ADAS, autonomous driving, robotics, embedded AI, or high-performance embedded systems.
Proven track record delivering production automotive software.
Expert C++14/17+, modern C++ design patterns, multithreading, and memory management.
Strong experience with QNX Neutrino RTOS, Embedded Linux, IPC, and real-time systems.
Deep expertise in CUDA, TensorRT, GPU memory management, profiling, and performance optimization.
Experience deploying AI/ML models on embedded automotive platforms.

Technologies

C++14/17+, C++
CUDA, TensorRT, ONNX Runtime
NVIDIA DriveWorks, OpenCL
QNX Neutrino RTOS, Embedded Linux
IPC, ISO 26262, Embedded AI
NVIDIA DRIVE platforms
DMA

Domain Knowledge

ADAS software architecture
Perception pipelines
Sensor fusion
Functional safety concepts (ISO 26262)

Preferred

Experience with NVIDIA DRIVE platforms, DriveWorks, perception systems, sensor fusion, and autonomous driving software architectures.

Benefits

Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
Health Savings Account (HSA) (for employees working 20+ hours per week)
Life & Disability Insurance (for employees working 20+ hours per week)
MetLife Voluntary Benefits
Employee Assistance Program (EAP)
401K Retirement Savings Plan
Direct Deposit & weekly epayroll
Referral Bonus Programs
Certification and training opportunities

Location: Newark, CA (onsite)

Compensation: USD 110 - 140 per hourly

Estimated Minimum Rate: $110.00

Estimated Maximum Rate: $140.00

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6d ago

Autonomous Vehicle Data Analyst Engineer

International Motors, LLC Elmendorf, TX

Elmendorf, TX

6d ago

$70k - $106k/yr Full time Autonomous Driving Autonomous Vehicles Data

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Job Description

The Autonomous Vehicle Data Analyst Engineer role supports the development and validation of Level 3 and Level 4 autonomous driving systems through real-world over-the-road testing. You will work closely with an engineering team and an AV safety driver, focusing on data acquisition, event documentation, analysis, and test troubleshooting.

Role Overview

In this position, you will take part in daily testing activities and help ensure reliable data collection during on-road validation. The work includes coordinating with the safety driver regarding ADS behavior, capturing and processing driving event data, and assisting with troubleshooting when the vehicle does not reach required operating states.

Responsibilities

Take ownership of the test article, including responsibility for vehicle road readiness and ensuring data acquisition equipment is prepared for over-the-road testing, with rotation to 2nd shift testing as needed.
Communicate ADS behavior to the AV safety driver and participate in daily over-the-road testing of the AV systems.
Request the safety driver to take over when conditions indicate possible unsafe operations, if needed.
Document, tag, upload, and process data; analyze driving events in partnership with the AV development team.
Troubleshoot situations where the AV is not in Active Automated mode and at standstill.
Attend on-site training at OEM and Navistar test locations, as needed.

Required Qualifications

Bachelor's degree in Engineering, Engineering Technology, or Computer Science.
Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis to work in the United States (US Citizen, Legal Permanent Resident, Refugee, or Asylee). The employer does not anticipate providing employment-related work sponsorship for this position (for example, H-1B status).

Technologies

Microsoft Office Applications
Excel, Word, PowerPoint

Travel Requirements

Regular travel to International Proving Grounds (IPG) in New Carlisle, Indiana.
Occasional business travel for training, up to 50%.

Benefits

A comprehensive benefits package designed to support employee wellbeing.
Competitive market-based compensation.

Desired Skills

Proven organizational skills for planning and documentation of daily missions to safety drivers.
Prior powertrain calibration or data acquisition experience on mobile platforms in automotive or commercial truck environments.
Strong communication skills for reconstructing events during over-the-road testing, including both presentations and verbal updates to all parties involved.
Experience uploading large data files, performing data analysis, and triaging fault codes on vehicle or other mobile platforms.
Experience and/or understanding of maintenance procedures for automotive or commercial platforms.
Working knowledge of automotive or commercial truck powertrain platforms.
Working knowledge or experience with automotive or commercial truck ADAS systems.
Fluency in Microsoft Office applications including Excel, Word, and PowerPoint for documentation, trip planning, and debriefing communications.
Ability to work in a team environment for extended testing periods alongside AV safety drivers.

Location: Elmendorf, TX (Onsite) | Compensation: USD 70,400 - 105,600 per year

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13d ago

Senior Software Engineer, Autonomy Actions Sustaining

Motional Las Vegas, NV

Las Vegas, NV

13d ago

$172k - $229k/yr Full time Senior Autonomous Driving Autonomous Driving Simulation

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Job Description

Motional is seeking a Senior Software Engineer to support its Autonomy Actions Sustaining efforts through fast, technically grounded software resolutions for autonomous vehicle challenges. Based in Las Vegas, NV, this onsite role centers on deep investigation in the Planning and Controls stack, turning triage findings into validated fixes and measurable improvements to engineering workflows.

In this position, you will work across the engineering lifecycle from issue discovery to deployment, while helping bridge on-road realities with active development work.

What you will do

Perform deep technical discovery on complex problems in the Planning and Controls stack reported by the triage team, using log parsing and simulation replay to determine the underlying cause of anomalous vehicle actions.
Lead delivery of software fixes, including development, testing, and deployment when an immediate solution is needed due to business requirements.
Improve internal workflows by building tooling and scripts that accelerate log analysis, automate recurring patterns, and increase overall team efficiency.
Serve as a technical liaison between teams to maintain alignment between on-road issues and what is currently being worked on in development.

Required qualifications

Bachelor’s degree in Computer Science, Robotics, or a related field. A Master’s or Ph.D. is preferred.
3+ years of C++ software development experience, focused on high-performance and resilient systems.
Comfort working within large, complex codebases where modularity and documentation matter.
Experience delivering software in production, including familiarity with CI/CD, version control at scale, and disciplined release cycles.
Strong motivation for a driverless future and an understanding of the high stakes involved in deploying software that interacts with the physical world.

Technologies

C++

Bonus (not required)

Experience with Jira, Confluence, and GitLab.
Background in robotics middleware (ROS, DDS) or autonomous systems.

Location: Las Vegas, NV (onsite)
Compensation: USD 172,000 - 229,000 per year
Experience: 3+ years

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Autonomous Driving Engineer Jobs

Staff Machine Learning Engineer- Large Driving Model (LDM), Motion Planning, Autonomy

Senior Robotics Systems Software Engineer

Software Engineer - ADAS Platform, Sensor Pipeline & AI Inference Optimization

Autonomous Vehicle Data Analyst Engineer

Senior Software Engineer, Autonomy Actions Sustaining

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