Kodiak Robotics Logo

Kodiak Robotics

Senior Onboard Infrastructure

Posted 25 Days Ago
Be an Early Applicant
In-Office
Mountain View, CA, USA
155K-215K Annually
Senior level
In-Office
Mountain View, CA, USA
155K-215K Annually
Senior level
Designs and implements onboard vehicle systems integrating autonomy hardware, embedded devices, AI, and vehicle platforms. Responsibilities include testing vehicle actuation systems, developing real-time operating system components and C++ infrastructure, building reliable compute and network systems, deploying autonomous trucks, and analyzing system performance. Requires 5+ years of software development connected to hardware, modern C++, CAN protocols, and Linux debugging. Experience with control systems, Bazel, bare-metal or RTOS platforms, and ISO 26262 is preferred.
The summary above was generated by AI

Kodiak AI, Inc. (Nasdaq: KDK), founded in 2018, is a leader in Physical AI, developing driverless technology that powers machines that move. Its Kodiak Driver is a vehicle-agnostic autonomous driving system that combines AI-powered software with modular hardware. Today it operates in long-haul trucking, industrial trucking, and defense. In 2024, Kodiak launched commercial Driver-as-a-Service operations with no one in the cab, and plans to launch driverless long-haul service between Dallas and Houston by the end of 2026.
Kodiak has partnered with many of the biggest names in freight, including Bosch for scaled hardware production, AWS, and leading customers including Atlas Energy Solutions, IKEA, Bridgestone, Werner Enterprises, C.R. England, Roehl Transport, and General Dynamics Land Systems.

We're looking for a Software Engineer focused on onboard vehicle systems to take a key role in designing and implementing our core vehicle integrations. You'll work across domains to bring together embedded devices, AI, and compute hardware into a highly reliable system, and you'll test and deploy autonomous trucks for real customers.

In this role, you will:

  • Own the integration between autonomy hardware and vehicle platforms for new products
  • Work across domains to test vehicle actuation systems, be the first to make a new vehicle move
  • Collaborate with experts across the company to build the Kodiak real-time operating system that powers our trucks
  • Design and implement core infrastructure and libraries in modern C++
  • Build highly reliable compute and network systems
  • Gather metrics to analyze and optimize the performance of Kodiak's autonomous systems

Qualifications:

  • BS or MS in Computer Science or a related field, or equivalent experience
  • 5+ years building software connected to hardware
  • Proficiency in modern C++
  • Experience with automotive communication protocols such as CAN
  • Comfort developing and debugging complex software on Linux

Nice to have:

  • Knowledge of control systems and how to evaluate them for safety and performance
  • Experience with Bazel on large, cross-platform projects
  • Experience building on bare-metal or RTOS platforms
  • Familiarity with functional safety standards such as ISO 26262

What we offer:

  • Competitive compensation package including equity and annual bonuses
  • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)
  • MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
  • Flexible PTO, 10 paid holidays, and generous parental leave policies
  • Our office is centrally located in Mountain View, CA
  • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
  • Long Term Disability, Short Term Disability, Life Insurance
  • Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) 
  • Fidelity 401(k)
  • Commuter, FSA, Dependent Care FSA, HSA
  • Various incentive programs (referral bonuses, patent bonuses, etc.)

The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package

California Pay Range
$155,000—$215,000 USD
 
At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.
 
In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate’s residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate’s residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak’s sole discretion, or, as an alternative, opt not to proceed with the candidate’s application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.
 
We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed [here](https://endorsed.com/local-law-144). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact [email protected] with "Separate Review Request" in the email subject line.

HQ

Kodiak Robotics Mountain View, California, USA Office

1045 Terra Bella Ave, Mountain View, CA, United States, 94043

Similar Jobs

2 Months Ago
In-Office
Mountain View, CA, USA
194K-352K Annually
Senior level
194K-352K Annually
Senior level
Artificial Intelligence • Automotive • Information Technology • Robotics
Build and optimize Nuro's onboard software platform, device drivers, and performance tooling. Integrate and validate hardware and software, profile and tune latency/resource usage, and collaborate with autonomy, hardware, and safety teams to ensure reliable, high-performance vehicle behavior.
Top Skills: ArmC++Device DriversDevice Runtime ApisEbpfFpgaGpuInter-Device ProtocolsNvidia Nsight ComputeNvidia Nsight SystemsPerfPerfettoPprofPythonX86
22 Seconds Ago
Remote or Hybrid
United States
Mid level
Mid level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Manages wholesale market relationships and sales and service agreements across dealerships, fleet customers, and aftermarket stores. Consults with partners on business plans, sales growth, customer satisfaction, marketing initiatives, product launches, training, inventory, and compliance. Analyzes market and competitive data to identify opportunities, resolve performance gaps, and strengthen vehicle and parts sales. This field-based role requires frequent territory travel and relocation or residence within the assigned region.
Top Skills: Google WorkspaceMS Office
35 Minutes Ago
In-Office or Remote
94104, San Francisco, CA, USA
Expert/Leader
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Principal Software Engineer responsible for owning customer-facing products end to end, leading technical strategy, architecting large-scale distributed systems, and delivering AI-native experiences. The role involves full-stack implementation, product strategy, system design, code reviews, reliability, testing, telemetry, security, performance, and mentoring engineers. Candidates must have extensive experience building and operating large-scale systems and strong product, UX, communication, and collaboration skills.
Top Skills: Automated TestingDistributed SystemsProduction Telemetry

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account