Senior Software Engineer at Toyota Research Institute

Los Altos, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Robotics, Artificial IntelligenceIndustries

Requirements

Bachelor or master degree in Computer Science, Robotics, or a related field
10+ years of relevant software development experience, ideally in robotics, automotive, embedded systems, or distributed platforms
Strong proficiency in modern C++ (C++14/17/20) and Python
Familiarity with Linux systems programming (e.g., sockets, filesystems, threading) and real-time systems
Experience integrating and debugging complex software systems, ideally in robotic or automated driving platforms
Proven track record to work hands-on and cross-functionally to tackle real-world deployment issues
Comfortable working with interfaces such as CAN, Ethernet, or middleware frameworks

Responsibilities

Design, implement, and maintain robust software in C++ and Python, enabling seamless integration of autonomy stack components across simulation and real-world vehicle platforms
Collaborate with researchers and engineers to debug, validate, and bring up autonomy features in closed-course and public road driving environments
Build diagnostics, monitoring, logging, and introspection tools that provide insight into real-time end-to-end machine learning model behavior and help accelerate iteration
Contribute to scenario test harnesses, CI pipelines, and integration frameworks, helping scale automated testing and analysis
Own platform-specific adaptations for simulation and vehicle deployment, including launch configuration, sensor interface wrapping, and runtime parameterization
Partner with cross-functional teams to support software deployment and versioning, ensuring consistent behavior across environments
Apply meticulous engineering best practices, including code review, documentation, and testing, to deliver robust and maintainable systems

Skills

C++

Python

Robotics

Embedded Software

Autonomy Systems

Machine Learning

Simulation

System Integration

Toyota Research Institute

Research in mobility, safety, and automation

About Toyota Research Institute

Toyota Research Institute focuses on improving mobility through research and development in the automotive and technology sectors. The company works on enhancing safety, automated driving, robotics, materials science, and machine learning. Their products include advanced safety features and automated driving systems that aim to make driving safer and more efficient. Unlike many competitors, TRI emphasizes a research-driven approach, collaborating with various partners and licensing their innovations to enhance Toyota's offerings and maintain a competitive edge. The goal of TRI is to advance mobility solutions that improve quality of life and support the transition to zero-emissions transportation.

Los Altos, CaliforniaHeadquarters

2016Year Founded

$100MTotal Funding

SEEDCompany Stage

Robotics & Automation, Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees

Benefits

Highly competitive benefits package

Robust programs to support the wellbeing, happiness, and health of our people and their families.

401(k) plan including matching and annual profit sharing along with total vacation and holidays totaling 38 days per year.

Subsidized commuter benefits and generous employee and vehicle allowances

2 paid days per year to participate in volunteer activities.

Maternity Leave program with 10 paid weeks plus baby bonding leave and Milk Stork for traveling moms

Baby Bonding Leave–an additional 16 paid weeks–to all new parents, including those who choose to adopt.

Back-up child and adult / elder care programs to help everyone thrive

WellBeats Virtual Fitness Trainer.

Risks

Public skepticism may undermine AI-assisted driving safety initiatives.

Boston Dynamics' high costs could impact TRI's humanoid robot project returns.

Complexity of real-world environments may delay TRI's robot skill deployment.

Differentiation

TRI focuses on AI to enhance human life and mobility.

Partnerships with Boston Dynamics and Stanford showcase TRI's collaborative innovation.

TRI's Driving Sensei concept integrates AI to improve driver skills and engagement.

Upsides

Generative AI allows TRI's robots to learn complex tasks without new coding.

TRI's AI-driven material synthesis could revolutionize EV battery development.

Autonomous tandem drifting collaboration with Stanford pushes vehicle dynamics boundaries.

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