Kodiak Robotics Logo

Kodiak Robotics

Staff Systems Engineer, Fault Management

Posted Yesterday
Be an Early Applicant
Easy Apply
In-Office or Remote
7 Locations
200K-268K Annually
Senior level
Easy Apply
In-Office or Remote
7 Locations
200K-268K Annually
Senior level
Lead the design and execution of the Autonomy Fault Management System, ensuring safe operation through all stages of development while collaborating with cross-functional teams.
The summary above was generated by AI

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.

The Systems and Safety Engineering team at Kodiak is seeking an experienced Systems Engineer to own the design and execution of Kodiak’s next-generation Autonomy Fault Management System.  This individual will lead the effort end-to-end: from product and system requirement definition, through architecture and implementation, to verification and validation, and safety case integration.  This leader will ensure that the Kodiak Driver handles onboard system faults with the desired, correct, safe response.  This role is central to progressing towards achieving a scalable driverless deployment and will work closely with autonomy hardware, software, and system safety teams.  

This role directly shapes Kodiak’s ability to operate sustainably at commercial scale. Fault management is not only a safety system—it is a primary lever of fleet availability, utilization, and cost per mile. You will own the technical strategies that determine when the system can continue operating safely, when it must degrade, and when it must exit service


In this role, you will:

  • Lead the end-to-end development of the next generation of Autonomy Fault Management System, leading the collaborative effort across hardware, software, system safety, and operations teams.
  • Own the systems and safety engineering execution for fault management across the full V-model lifecycle.  
  • Lead the development of systems engineering artifacts, including requirements, traceability, V&V plans, V&V evidence.
  • Define and lead the fault management architecture and concept of operations, including detection, isolation, response, safe-state definition, and minimum risk conditions.
  • Generate technical evidence in support of the adequacy, coverage, and sufficiency of the Fault Management System as an element of Kodiak’s Driverless Safety Case.
  • Support quantitative and qualitative analyses used to set detection thresholds, prioritize hazards, and evaluate risk associated with fault responses and minimum risk maneuvers.
  • Lead and influence system architecture trade studies that impact the fault coverage, system availability, safety risk, and operational continuity.
  • Develop the strategy for managing system availability, degraded operation, and operational continuity through the Fault Management System.  
  • Quantify the commercial and safety impact of false positive and false negative detections.
  • Provide analysis to support complex autonomy system design trade-offs to inform system design decisions affecting safety and performance.
  • Serve as the technical leader to align cross-functional teams around a unified fault management strategy.

What you’ll bring:

  • B.S., M.S., or PhD in engineering or related technical field
  • 5+ years experience within real-time safety-critical applications, preferably in highly automated or autonomous systems (autonomous vehicles, aerospace, nuclear, medical, etc).  
  • Experience with fault management, diagnostic development, safe state identification and development
  • Experience working with agile software engineering teams
  • Ability to read C/C++ code
  • Experienced in Systems Engineering V-model and application within product life cycle
  • Strong verbal and written communication skills
  • Ability to collaborate effectively with technical stakeholders spanning multiple technical disciplines

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
$200,000$268,000 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.

Top Skills

C/C++
HQ

Kodiak Robotics Mountain View, California, USA Office

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

Similar Jobs

50 Minutes Ago
Remote
Canada
162K-259K Annually
Senior level
162K-259K Annually
Senior level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.
Top Skills: Data ScienceMachine LearningPyTorchScikitTensorFlow
An Hour Ago
Easy Apply
Remote or Hybrid
2 Locations
Easy Apply
166K-240K Annually
Senior level
166K-240K Annually
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
As a Solutions Architect at Coda, you will design and implement solutions for enterprise customers, focusing on business outcomes through Coda's platform, collaborating with cross-functional teams to optimize processes and drive success.
Top Skills: AirtableAPIsCodaDatabase ArchitectureExcelLow-Code ToolsNo-Code ToolsSheetsZapier
An Hour Ago
Easy Apply
Remote or Hybrid
2 Locations
Easy Apply
101K-306K Annually
Senior level
101K-306K Annually
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
The Software Engineer will design and scale back-end systems, improve features, ensure system reliability, and collaborate across teams while focusing on performance and security.
Top Skills: GoGCPKubernetesPostgresPythonRedisTypescript

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