Autonomous Driving Kit Software Engineer

Isuzu North America

Sunnyvale (CA)

On-site

USD 111,059 - 157,168

Full time

14 days+

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Benefits offered by this job

Comprehensive Health Coverage
Generous Time Off
Smart Retirement Planning
Tuition Reimbursement
Exclusive Employee Discounts

Job summary

Isuzu North America is seeking an Engineer I or Engineer II based in Sunnyvale, California. The role involves developing software for Autonomous Driving solutions, collaborating with Isuzu's teams in the U.S. and Japan, and supporting vehicle testing. Candidates should have a Master’s degree in a related field and at least one year of experience. The position offers competitive compensation ranging from $111,059 to $157,168, along with comprehensive health benefits and generous time off.

Qualifications

  • Minimum one year of working experience in data analysis, robotics, programming, or automotive systems.
  • Fundamentals of autonomous driving, robotics, and data science.
  • Knowledge of ISO 26262 and functional safety standards.

Responsibilities

  • Develop software for Autonomous Driving software stack.
  • Collaborate with partnership organizations and review documents.
  • Analyze driving log data and prepare data pipeline for ML training.
  • Evaluate Autonomous Driving system performance through simulation.
  • Support vehicle testing to verify the Autonomous Driving system.

Skills

Strong analytical skills
Problem-solving
Critical thinking
Proficiency in Python
Proficiency in C++
Experience with ML frameworks
Hands-on experience in real-time testing

Education

Master’s degree in Computer Science, Electrical Engineering, Robotics, Data Science or related fields
PhD preferred

Tools

PyTorch
TensorFlow
ROS 2
Docker
Bazel

Job description

Overview

We are looking to hire an Engineer I or Engineer II. This position is based in Sunnyvale, California, and compensation is aligned with this designated work location.

Job Summary

Supports/leads development of Autonomous Driving software such as Perception/Localization, Planning/Prediction or Control modules. Focuses on a single module to progressively expand into multiple modules as project demands and organizational priorities evolve. Verifies the developed software, conducts vehicle tests on test track or public road and runs simulation evaluations. Designs, implements, and optimizes software systems that enable safe, reliable, and intelligent driving behavior. Works on both rule-based and data driven approaches for autonomous driving software stack which may include onboard stack development, Machine Learning (ML) model, and data pipeline developments for ML training. Works closely with Isuzu US and Japan teams, leading autonomous driving partner companies, and reputed research institutes on the development and validation of autonomous systems. Depending on the experience level, position might work under close supervision from more senior staff and follow established procedures or independent judgment is required and can guide junior staffs.

Why Join Us
  • Work with industry-leading partners and institutions on cutting-edge AI for future mobility and logistics solutions
  • Gain hands-on experience in simulation, validation, and deployment of production driven AI systems
  • Exposure to global collaboration across U.S. and Japan technical teams
  • Opportunity to make a meaningful contribution to the future of transportation and mobility autonomy
Principal Duties & Responsibilities
  1. Develops software for Autonomous Driving software stack (Perception/Localization, Planning/Prediction or Control).
  2. Collaborates on tasks with partnership organizations (including both Isuzu group companies and external companies) by participating in discussion/negotiation and reviewing documents/source code.
  3. Analyzes driving log data and prepares data pipeline for ML model training.
  4. Evaluates Autonomous Driving system performance by executing simulation/emulation.
  5. Develops advanced technology or research in Autonomous Driving algorithm.
  6. Supports vehicle testing to verify and evaluate the Autonomous Driving system.
Organizational Relationships
  • Reports to: Supervisor, Autonomous
Education, Experience & Training
  • Master’s degree in Computer Science, Electrical Engineering, Robotics, Data science or related fields. PhD preferred.
  • Minimum one year of working experience in data analysis, robotics, programming, or automotive systems
Knowledge
  • Fundamentals of autonomous driving, robotics, signal processing, and data science
  • Academic background in autonomous systems, ML (DL/RL/VLM/LLM), vehicle dynamics, or simulation
  • Understanding of ADAS/AD architecture, module interfaces, and production software
  • Familiarity with ISO 26262 and functional safety standards
  • Knowledge of end-to-end autonomous driving systems
  • Domain-specific knowledge (based on role):
    • Perception/Localization: Probabilistic filtering, sensor fusion, SLAM, GNSS/IMU, HD maps, image and point cloud processing, DL(CNN and Transformer)
    • Planning/Prediction: Path/trajectory planning, motion prediction, optimization, MRM, DL(RNN and Transformer)
    • Control: Classical/MPC control, vehicle dynamics, actuator modeling, RL for control tuning
Skills And Abilities
  • Strong analytical, problem-solving, and critical thinking
  • Effective communication and teamwork, both independently and collaboratively
  • Proficiency in Python and C++
  • Experience with ML frameworks (PyTorch, TensorFlow), simulation tools, and robotic middleware (ROS 2)
  • Familiarity with Docker, Bazel, CAN communication, and profiling tools (Nsight, nvprof, perf)
  • Hands-on deployment of autonomous driving algorithms or DL models on embedded systems
  • Control-specific tools: MATLAB-Simulink/Stateflow
  • Practical experience in real-time testing, tuning, and closed-loop validation
Job Specific Skills
  • Experience with data transmission through Controller Area Network (CAN)
  • Hands-on experience with TensorRT, CUDA, cuDNN, or custom GPU kernel optimization
  • Understanding of ADAS/AD system architecture including interface between modules and production software development
  • Knowledge of ISO 26262 or functional safety standards
  • Familiarity with profiling tools (Nsight Systems, nvprof, perf)
  • Hands-on experience deploying Autonomous Driving algorithms or DL models, in real-time systems or automotive environments (on embedded or automotive-grade hardware)
  • Basic understanding of End-to-end autonomous driving system (e.g. BEV feature based, Vision-Language-Action Model)
Physical Standards

The employee must be able to access, enter, and retrieve data using a computer. This is primarily a sedentary position in a controlled office environment which requires only occasional reaching, stooping, and lifting of office files, reports or records, typically weighing 5 lbs. or less. Requires occasional light lifting (5-25 lbs). Must be able on rare occasions to bend, crawl, climb, crouch, kneel and reach above shoulder level in the performance of job duties. Must be able to work in hot and cold weather extremes.

Position requires up to 5% travel, mostly domestic. Occasional overnight or weekend trips; rare chance of international travel.

Compensation

We are looking to hire an Engineer I or Engineer II in our Sunnyvale, CA location. Compensation for this role varies by location and is informed by cost of living and local market benchmarks. The pay scale for an Engineer I in Sunnyvale, CA is $111,059 to $141,600. The pay scale for an Engineer II in Sunnyvale, CA is $123,270 to $157,168.

Benefits
  • Comprehensive Health Coverage Medical, dental, vision, and fertility benefits to support you through every stage of life
  • Fertility & Family-Building Support through WIN Fertility: Includes Adoption & Surrogacy Benefits, WINMaternity, and PowerPause, offering up to $25,000 in lifetime benefits for fertility-related services
  • Generous Time Off including paid vacation, holidays, sick leave, parental leave, and volunteering time off
  • Smart Retirement Planning with a 401(k) plan and company match
  • Life and Travel Insurance coverage
  • Wellness Program
  • Tuition Reimbursement for job-related coursework and professional growth
  • Exclusive Employee Discounts
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