• Help design, train, with a focus towards deploying onboard machine learning models that improve the performance/latency of the Kodiak autonomy stack which includes quantization, pruning, converting to ONNX/TensorRT, custom GPU kernels and profiling.
• Help identify and achieve parity between onboard and deployed offboard models using validation on HIL 
• Collaborate with cross-functional teams including perception, planning, simulation, and autonomy infrastructure to integrate ML models into production systems.
• Analyze real-world driving logs to identify edge cases and improve model robustness and safety.
• Use profiling tooling to additionally help improve the train time for models by identifying and removing bottlenecks.
• Contribute to the development of scalable AI infrastructure that supports continuous learning and deployment across Kodiak’s fleet.

• MS or PhD in Computer Science, Robotics, Machine Learning, or a related technical field, or equivalent practical experience.
• 6+ years experience deploying machine learning or deep learning systems in production environments.
• Proficiency in Python, C++ and modern ML frameworks such as PyTorch or TensorFlow.
• Experience working with large-scale distributed training systems.
• Solid understanding of optimization, and machine learning fundamentals.
• Strong software engineering fundamentals including testing, debugging, and system design.
• Ability to work collaboratively across teams to solve complex autonomy and robotics challenges.

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.)

• Design and develop multimodal transformer architectures that fuse camera, LiDAR, and radar into unified representations
• Research and implement cross-modal attention mechanisms, token fusion strategies, and efficient multi-stream tokenization
• Build scalable training pipelines for large-scale multimodal transformers across massive real-world datasets
• Explore self-supervised and contrastive pretraining objectives that learn transferable multimodal representations
• Optimize transformer models for real-time inference under latency and compute constraints

• BS, MS, or PhD in AI, Computer Science, or a related field
• 4+ years experience with transformer architectures, particularly in multimodal or multi-stream settings
• Familiarity with cross-attention, token fusion, or modality alignment techniques
• Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
• Strong understanding of scalable training for large models, including distributed training and mixed-precision optimization
• Passion for building AI that reasons over the full breadth of sensory input to operate safely in the real world

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.)

We are looking for a Software Quality Triage Specialist to join our rapidly growing Software Quality team.

In this role, you will:

• Learn to know the Kodiak Driver better than almost anyone else
• Study and assess performance results of our autonomous trucks
• Perform deep root cause analysis efficiently with high quality and minimal oversight
• Identify and categorize failure modes of our system, file bugs, and track them through to resolution
• Generate reports of overall performance to share with the team
• Collaborate with operations and engineering teams to improve workflows and processes
• Perform quality assurance on 2D/3D labels to train and improve our algorithms 

What you’ll bring:

• 3+ years of experience in triage and deep root cause analysis within the robotics or autonomous vehicle industry 
• Bachelor’s degree in Engineering, Computer Science, or a related technical field
• Experience beyond high level bucketing 
• Hands-on experience analyzing vehicle logs across perception, planning, localization, controls and other system-level behaviors
• Very solid understanding of AV sensors (e.g., cameras, lidar, radar) and how sensor performance impacts perception and planning
• Experience using simulation as part of the triage process to evaluate safety-related behaviors
• Proven ability to investigate complex issues and drive them to root cause
• Critical thinker with strong analytical and root cause analysis skills
• Ability to quickly learn, adapt, and apply new concepts, tools, and workflows
• Naturally curious, with the diligence to investigate unexpected behaviors and understand why they occur
• Strong communication skills, including experience writing clear, concise, and thorough technical documentation
• Passion for autonomous technology and for improving safety and efficiency through triage and simulation

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.)

We are seeking a skilled Senior Hardware Electrical Engineer to join our team.  The successful candidate will have a strong background in electrical design and be responsible for the full design cycle of electrical components in our autonomous vehicles.  The role will work collaboratively with the hardware, mechanical, and software engineering teams to ensure our electrical system meets compliance and functional safety requirements for building safe and reliable autonomous trucks at scale.

In this role, you will:

• Design circuits at the schematic level using a variety of capture tools
• Design, influence, and collaborate with partners on power conditioning, regulation circuits and low frequency analog circuits to meet requirements
• Design and test standard vehicle communication harnessing, CAN, LIN, Automotive Ethernet
• Design and validate harnessing for low and high speed components
• Validation testing for EMI/EMC at the whole truck level down to subcomponents
• Collaborate with electrical and firmware engineering teams to validate circuits
• Lead root cause analysis and resolve issues in electrical systems
• Define stress test routines required to validate functional sections
• Interface closely with other teams such as Software, Mechanical, Manufacturing, and with external component suppliers

What you’ll bring:

• BS, MS, or equivalent experience in Electrical, Mechanical, or Computer Engineering
• 5+ years of hardware development experience, ideally within the automotive, aerospace or a related industry
• 5+ years of experience designing PCBAs
• Deep understanding of mixed analog and digital circuits
• Experience with implementation of low - level hardware buses such as I2C, CAN, SPI, UART
• Experience with high - speed hardware communication interfaces such as PCIe, GMSL/GMSL2, Ethernet
• Hands on. You are just as comfortable getting your hands dirty analyzing a subsystem in the shop as when using a keyboard.
• Great communicator. You have experience writing clear, concise, and detailed documentation
• Passion. You are passionate about autonomous vehicles and their potential impact on humanity
• Must be a US person

What we offer:

• Competitive compensation package including equity and biannual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
• Flexible PTO 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, One Medical, Gympass, Spring Health
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)

We are looking for a Senior Camera Engineer to lead the design and development of Kodiak’s camera sensing pipeline. This is a hands-on role for someone who deeply understands camera hardware, ISP tuning, compression, drivers, and how sensor data is used in modern computer vision and ML techniques. In this role you will be tasked with optimizing a camera pipeline for ML consumption - you will own the camera pipeline from pixel to compute - including camera selection and configuration, testing, IQ tuning, and working closely with perception, ML, and software teams to build a robust, scalable Kodiak driver. 

In this role, you will:

• Own camera-based perception pipelines from sensor selection to production deployment
• Evaluate and select camera sensors, modules, and optics based on system and application requirements
• Tune and optimize ISP pipelines (image quality, color, HDR, noise, latency, synchronization) for machine and human consumption
• Work with perception and software teams to deploy next-generation camera system  
• Run hands on testing in the field to troubleshoot camera system issues and test next-gen hardware
• Debug camera issues across the from sensor to ISP 
• Drive design decisions around compression and sensor synchronization
• Manage relationships with suppliers and external partners
• Research and evaluate emerging imaging technologies

What You’ll Bring:

• Bachelor's degree or higher in Computer Science, Electrical Engineering, Robotics, or a related field
• 7+ years of experience in camera, computer vision, or perception engineering
• Strong experience with testing and selecting camera sensors and complete camera modules
• Understanding of image signal processing (ISP) pipelines — familiarity with auto white balance, auto exposure, tone mapping, and how ISP tuning affects downstream perception
• Basic understanding of computer vision and ML fundamentals
• Hands-on experience developing and deploying camera pipelines for robotics
• Basic software engineering skills in C++ and/or Python
• Ability to collaborate effectively with hardware, systems, and software teams

Nice to haves:

• Experience in robotics, autonomous systems, AR/VR, or advanced driver assistance systems (ADAS)
• Experience with challenging imaging conditions and understanding of how image quality maps to perception performance
• Experience with camera system integration — understanding data interfaces, bandwidth constraints, latency requirements, and how imaging subsystems integrate into larger robotic platforms.

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.)

• Optimize and enhance existing applications and APIs to incorporate new features and user feedback.
• Design new features and user experiences, including UI elements and layout through mockups (e.g., Figma) and implement such features in React + TypeScript.
• Research and design new APIs for new use cases and implement such APIs and backend logic using Python, JavaScript/TypeScript, C++.
• Utilize a variety of AWS technologies such as API Gateway, AWS Lambda, Amazon AppSync, DynamoDB, and Terraform.
• Interact with a variety of data sources including documents, databases, raw and/or processed sensor data, and other APIs.
• Collaborate with Software Engineering, Software Quality, and Operations to understand end user requirements.

• Strong technical background as evidenced by BS, MS, or equivalent experience, in Computer Science or a related engineering discipline
• 6+ years of experience building backend services and/or intuitive web applications with significant scale and performance
• Solid understanding of HTML, CSS, and related web technologies
• Recent experience with JavaScript, TypeScript and React
• Experience with using internal and external facing APIs
• Experience with app profiling and performance tuning.
• Experience with service performance measurement, observability, and tuning.
• Familiarity with web sockets and Typed Arrays
• Bonus for experience with Three.js, Web Workers, protobuf
• Bonus for experience in designing UIs using collaborative tools
• Bonus for experience with C++, creating tooling for robotics / timeseries data
• Bonus for experience with AWS PaaS technologies and services
• Great communicator; you must be capable of writing clear, concise, and detailed documentation.
• Passion; you must be passionate about autonomous vehicles and their potential impact on humanity.

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.)

Kodiak is seeking an experienced Senior Product Analyst to provide actionable insights that directly shape product development and customer-facing outcomes for commercially-deployed driverless trucks. As a member of the Data team in the Product organization, you will partner with Product Management, Program Management, Engineering, and Operations to define success metrics, analyze system and product performance, interpret underlying drivers and root causes, and work across teams to translate findings into actions that accelerate product improvement and reliability.

In this role, you will:

• Work with Product Management to define and track KPIs related to autonomy and operational performance, productivity, reliability, and safety.
• Work with cross-functional partners to understand root causes, derive insights and actionable recommendations, and define next steps.
• Partner with Product Management and Engineering to design and evaluate experiments (e.g., feature rollouts, A/B tests).
• Conduct deep-dive analyses on commercial deployments and customer usage to identify feature gaps and prioritize improvements.
• Collaborate with other members of the Data team to improve tracking, instrumentation, and data pipelines.
• Build dashboards and reports to give Product and Engineering teams visibility into performance trends.
• Support executive and board-level discussions with product insights and customer impact metrics.
• Travel occasionally to visit Kodiak’s commercial deployment and operations locations.

What you’ll bring:

• Analytical rigor: 5+ years of experience in product analytics in high-growth tech environments
• Leadership: Experience leading Product Analytics teams and mentoring junior analysts
• Technical fluency: Skilled in querying large datasets efficiently with python and in Kibana.  Experience creating dashboards and automating reporting
• Cross-functional collaboration: Track record of partnering closely with Product Managers, Engineers, and Operations to align data insights with customer and product priorities
• Business acumen: Experience connecting the dots between technical metrics and real-world business outcomes (e.g., fleet utilization, cost per mile, customer adoption)
• Problem-solving: Experience structuring highly ambiguous and complex problems into clear, data-driven insights.
• Storytelling skills: Skilled at translating complex data into narratives that influence product direction and decision-making
• Domain curiosity: Interest in autonomous systems, logistics, or mobility technology — eager to learn the nuances of safety, reliability, and scaling operations in autonomy.
• Degree in data analytics or data science, or equivalent work experience

What we offer:

• Competitive compensation package including equity and biannual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
• Flexible PTO 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, One Medical, Gympass, Spring Health
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)

Kodiak is seeking a highly skilled and intrapreneurial Senior Product Manager to drive the development of our Assisted Autonomy (AA) solution. AA allows a human to remotely control a truck in certain low-speed and clearly-defined scenarios that benefit from human involvement. AA is part of the functionality of Kodiak's autonomous solution, the Kodiak Driver.

This is an Individual Contributor (IC) PM role that requires end-to-end product ownership of Assisted Autonomy at Kodiak. You will be responsible for assessing and tracking the market, listening to customers, analyzing data, and evaluating Kodiak’s capabilities to unify a cross-functional team behind a cohesive product vision and strategy. Because this role involves both software and hardware, it requires a unique blend of technical depth, B2C UX/design sensibility, and rigorous execution.

In this role, you will:

• Product strategy & vision: Formulate and evolve the roadmap for Assisted Autonomy, balancing near-term deployment milestones with long-term scalability. Assess market trends and evaluate Kodiak's capabilities to unify cross-functional teams behind a clear AA strategy.
• Data-driven prioritization & KPIs: Establish and monitor KPIs. Use data to improve performance, while prioritizing failure modes and features to improve overall safety.
• Execution & deployment: Define and prioritize requirements with cross-functional partners. Evaluate releases for acceptance, and partner closely with Ops teams on field deployment, process optimization, and the creation of effective training materials.
• Hardware & software integration: Drive product improvements across both software interfaces (job dispatch, telestation capabilities) and physical hardware integrations.
• Stakeholder communication: Act as the central node between Engineering, Operations, Safety, Program, internal leadership, and external customers, providing clear updates on feature development, release management, and market readiness.
• Travel: Up to 25% travel required to visit Kodiak commercial deployment locations to listen to customers and gather direct operational feedback.

What you’ll bring:

• 8+ years of product management experience, ideally in environments that blend software and hardware
• Demonstrated success in defining & launching end-user-facing high-tech products through the full lifecycle to customers at scale
• Strong B2C UX/design experience, demonstrating an ability to build highly usable interfaces for teleoperations and human-in-the-loop workflows, including for non-technical users
• Ability to think deeply and communicate clearly about data and KPIs, and how they inform product prioritization
• Technical degree (master's degree or above in engineering, computer science, or a related technical field) or equivalent practical work experience
• Prior experience in assisted autonomy, autonomous vehicles (AV), or robotics
• Startup experience

What we offer:

• Competitive compensation package including equity and biannual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
• Flexible PTO 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, One Medical, Gympass, Spring Health
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)

We are seeking a skilled Senior Hardware Electrical Engineer to join our team.  The successful candidate will have a strong background in electrical design and be responsible for the full design cycle of electrical components in our autonomous vehicles.  The role will work collaboratively with the hardware, mechanical, and software engineering teams to ensure our electrical system meets compliance and functional safety requirements for building safe and reliable autonomous trucks at scale.

In this role, you will:

• Design circuits at the schematic level using a variety of capture tools
• Design, influence, and collaborate with partners on power conditioning, regulation circuits and low frequency analog circuits to meet requirements
• Design and test standard vehicle communication harnessing, CAN, LIN, Automotive Ethernet
• Design and validate harnessing for low and high speed components
• Validation testing for EMI/EMC at the whole truck level down to subcomponents
• Collaborate with electrical and firmware engineering teams to validate circuits
• Lead root cause analysis and resolve issues in electrical systems
• Define stress test routines required to validate functional sections
• Interface closely with other teams such as Software, Mechanical, Manufacturing, and with external component suppliers

What you’ll bring:

• BS, MS, or equivalent experience in Electrical, Mechanical, or Computer Engineering
• 5+ years of hardware development experience, ideally within the automotive, aerospace or a related industry
• 5+ years of experience designing PCBAs
• Deep understanding of mixed analog and digital circuits
• Experience with implementation of low - level hardware buses such as I2C, CAN, SPI, UART
• Experience with high - speed hardware communication interfaces such as PCIe, GMSL/GMSL2, Ethernet
• Hands on. You are just as comfortable getting your hands dirty analyzing a subsystem in the shop as when using a keyboard.
• Great communicator. You have experience writing clear, concise, and detailed documentation
• Passion. You are passionate about autonomous vehicles and their potential impact on humanity
• Must be a US person

What we offer:

• Competitive compensation package including equity and biannual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
• Flexible PTO 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, One Medical, Gympass, Spring Health
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)

We are looking for a Senior Vehicle Integration Engineer with deep experience in new platform development and system-level integration. This role is at the forefront of bringing next-generation autonomous vehicle platforms to life — from early-stage concept through integration, validation, and deployment. You will work closely with hardware, systems, and manufacturing teams to drive new platform development, with a focus on integration quality, test rigor, and technical execution.

In this role, you will:

• Lead system-level integration of sensors, compute, actuation, and vehicle systems for new platform development programs
• Drive the full integration lifecycle: architecture definition, build planning, bring-up, validation, and sign-off
• Develop and execute structured test plans to validate new platform functionality, performance, and reliability
• Coordinate and lead cross-functional build and integration events with Mechanical, Electrical, Manufacturing, and Systems teams
• Provide Design-For-Manufacturing and Design-For-Test feedback to ensure new platforms are built for quality and scale
• Develop and maintain comprehensive platform documentation including drawings, schematics, BOMs, build instructions, and test reports
• Identify, triage, and resolve integration issues through systematic debugging and root cause analysis
• Partner with systems and hardware engineering teams to define integration requirements and acceptance criteria for new platforms

What you'll bring:

• Strong technical background. BS or MS in Mechanical or Electrical Engineering
• 6+ years of experience in the autonomous vehicle, automotive, or a related industry
• Demonstrated experience leading new platform or new product integration programs from early development through validation
• Strong systems thinking and problem-solving skills; you are energized by complex, multi-disciplinary integration challenges
• Hands-on. You are equally comfortable with a wrench and a keyboard. Confident with automotive electronics and familiar with communication protocols and tools such as Ethernet and CAN
• Experience with scripting and data analysis languages such as Python or MATLAB
• Understanding of Linux-based systems and computer networking
• CAD experience with packages such as SolidWorks
• A team leader. Whether formally or informally, you have played the lead role on multiple integration or development programs. You take ownership and drive teams to deliver results
• Great communicator. You write clear, concise, and detailed technical documentation, and are skilled at leading and participating in cross-functional design and integration reviews
• Proven ability to drive testing through development, execution, analysis, corrective actions, and final report-outs across all stages of product development
• U.S. person required

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.)

We are seeking a hands-on Simulation Operations Specialist to join the Software Quality team. In this role, you will drive improvements across large-scale simulation sets, enhance simulation workflows and tools, and help advance safe and reliable autonomous trucking technology.

In this role, you will:

• Develop test plans and create simulations to test the behavior of our autonomous trucks. 
• Actively run daily simulation operations, including scenario execution, triage, and reporting.
• Improve efficiency in test planning, scenario execution, and results tracking across large-scale simulation suites.
• Partner with engineering teams to ensure simulation scenarios accurately reflect real-world conditions.
• Work closely with systems engineers on structured test design and execution, ensuring comprehensive coverage of safety-critical and edge-case scenarios.
• Share actionable insights from simulation results with autonomy software engineers to accelerate software development and validation.
• Collaborate with infrastructure and tools teams to enhance automation, debugging, and scaling of simulations.

What you’ll bring:

• 2+ years of experience in autonomous vehicle or robotics industry.
• Bachelor’s degree in Engineering, Computer Science or related field.
• 2+ years of experience in simulation, QA, or test automation, ideally in robotics or autonomous systems.
• Familiarity with python or C++ programming.
• Hands-on experience with simulation workflows or large-scale simulation testing environments.
• Strong problem-solving skills and ability to dive into technical details.
• Passion for autonomous technology and improving safety and efficiency through simulation.
• Familiarity with structured test planning and execution; experience working with systems engineers preferred.
• Experience with Applied Intuition tools is a plus.
• Great communicator with experience writing clear, concise, and detailed communication
• Love of robots - You love to be in, around, or near robots

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.)

Kodiak AI is currently seeking a DevOps Engineer - Infrastructure to join our growing team working out of our Mountain View, CA HQ. This position will be the technical escalation point for Global End Users and Executives. The role requires a high level of technical proficiency and requires an individual with executive presence and good social skills. Must be able to quickly and effectively diagnose, and resolve issues related to Linux, Mac and Windows systems, mobile devices, cloud or datacenter infrastructure. Kodiak is looking for an individual who is customer focused, passionate about the end user experience, enjoys challenging themselves constantly to improve, and empowering the end user community by providing IT knowledge and tools. This role will be a mix of hands-on support services and collaborating on infrastructure-as-code projects with the greater IT infrastructure team. There will be many opportunities to learn, plenty of room to grow, and many interesting projects to take ownership of.

In this role, you will:

• Driving improvements by automating IT and infrastructure processes. 
• Provide onsite and remote guidance for Engineers and staff
• Provide end user guidance to Ubuntu Linux, Mac OS, and Windows platforms when needed
• Coordinate issue resolution with operations and engineering staff, working with domain specialists to resolve issues.
• Provide feedback, quality assurance, and user acceptance testing for platforms and services.
• Manage own time to fulfill tasks efficiently, in the correct priority and to the required level of quality, within the context of the objectives supplied by the manager.
• Participate in the deployment, support, maintenance and troubleshooting of LAN/WAN, WiFi, VPN and Cloud network infrastructure

What you’ll bring:

• Production experience with automation and orchestration tools related to IT infrastructure
  • Production experience  with Ansible, Terraform, Grafana or Prometheus
  • Production experience  with Juniper Networks or Palo Alto Networks
  • Production experience  with Rancher or Kubernetes 
  • Production experience  with AWS
  • Experience participating in security framework audits such as SOC2 or ISO:27001
  • Experience with MinIO
• Experience collaborating in an infrastructure-as-code production environment
• Experience using Git for collaboration in an infrastructure-as-code production environment
• Expertise delivering the right services at the right time in a rapidly changing business environment
• A strong understanding of SSO concepts including SAML, OIDC and supporting users with MFA, etc.
• Excellent project and time management skills, ability to manage expectations in a deadline-driven environment and to balance strategic projects with day-to-day accountabilities
• Strong proficiency in verbal and written communication

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.)

Manufacturing Test Software Engineer with production experience in manufacturing environments to join the Manufacturing team and expand our manufacturing test capabilities for our autonomous vehicle systems. This position will be a key member of the Manufacturing Test team and play a pivotal role in automating various tests, improving test coverage, scaling test capacity while ensuring long-term reliability, and integrating test systems with our MES / PLM systems

In this role, you will:

• Own, develop, improve, troubleshoot, and maintain new and existing manufacturing test software to automate or execute configuration, verification, and/or testing of various components (PCBAs, third-party devices, sensors, etc.) and subassemblies.
• Work with and improve existing manufacturing test frameworks and execution platforms for production environments.
• Translate engineering test prototypes into robust, production-grade test platforms.
• Contribute to integrating and interfacing manufacturing test solutions with MES, PLM, and traceability systems.
• Develop improvements and optimizations for operator-facing user interfaces in manufacturing.
• Collaborate with various teams such as Manufacturing/Quality, Embedded, Integration, IT/CyberSecurity, etc. to determine test coverage / metrics, and align on test features and APIs, secure deployment for manufacturing tests.
• Implement optimization for DB operations for manufacturing test traceability & queries for dashboards, manufacturing process flow enforcement, etc.
• Manage and maintain test code repositories using GitHub, ensuring version control and collaboration with other team members.

What you’ll bring:

• Degree in Electrical, Mechanical, or Computer Engineering, and/or equivalent experience.
• 3 plus years of experience in manufacturing test development, preferably in the autonomous vehicle / automotive industry.
• Proven software experience transitioning validation testing into manufacturing test systems.
• Strong proficiency in Python/C# for production, testing, and automation
  bonus: C++ for interfacing with various hardware or embedded devices
• Strong understanding of various communications/interface protocols such as I2C, UART, USB, UDS, CAN, LIN, Ethernet & Automotive Ethernet.
• Comfortable working with complex systems involving multiple hardware and subsystems and operating independently in manufacturing/production environments.
• Solid experience with Manufacturing Test Execution platforms such as ATEasy, NI TestStand, Keysight Test Exec, etc.
• Experience with DBs (such as PGSQL, MySQL, MSSQL) for test data storage & query optimization
• Experience using lab equipment like DMMs, Oscilloscopes, DAQs, Power supplies and Electronics loads both manually and programmatically
• Basic understanding of AWS Infrastructure services.
• Strong experience and understanding working with standard OSes like Ubuntu/Debian & Windows
• Capable of reading and interpreting electrical and/or mechanical schematics and diagrams.
• Strong understanding of best practices in software engineering and manufacturing.
• Ability to manage multiple software releases across various product categories.

What we offer:

• Competitive compensation package including equity and biannual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
• Flexible PTO 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, One Medical, Gympass, Spring Health
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)

We are recruiting for a Verification and Validation Systems Engineer who will support the system requirements, implementation, and testing of Kodiak’s assisted autonomy system to ensure the product requirements are met and the autonomous vehicle operates safely. 

In this role, you will:

• Define and implement verification and validation methods across multiple test environments, including remote operation centers, hardware-in-the-loop (HIL) labs, and on-road vehicle testing for remote operations. 
• Develop and maintain test plans and procedures to evaluate system performance and safety for core remote assistance features as needed for hardware releases, software releases and/or key milestones.
• Collaborate with cross-functional teams to scope, train, and implement new operational functions aligned with remote feature requirements.
• Analyze remote assistance features, test evidence, and/or evaluate risk exposures to improve safety case arguments.
• Expand the remote assistance test suite to address edge cases, a wide range of operational conditions, and existing coverage gaps. 
• Collaborate with remote operators and trainers to align on desired operational use cases, training points, and safety goals when new features are implemented.
• Analyze test results to identify unexpected behaviors, regressions, and/or failures while also performing root cause triage to isolate system issues and drive resolution.
• Build tools to automate test execution, data extraction, and results reporting, with a focus on repeatability and efficiency.

Support hardware and software releases through V&V test campaigns and release packages with an emphasis on tracking results, evidence reporting, and task completion.

• Develop and assess safety critical features for unmanned autonomous vehicles
• Define and enforce safety critical operational procedures for unmanned autonomous vehicles 
• Support commercial, industrial, and/or defense related projects to ensure safe autonomous operations using various platforms in different operational design domains.

What you’ll bring:

• Must be a US person as defined as permanent resident or US citizen
• A Bachelor’s or Master’s degree in Robotics, MechE/EE, System Engineering, Computer Science or a related STEM field. 
• Strong experience in verification and validation, systems integration, and/or autonomy testing for complex systems, preferably for autonomous vehicles. 
• Willingness and ability to travel to test/customer sites up to ~25% of the time, depending on needs for key milestones and sprints. 
• Strong organizational and communication skills, with the ability to work cross functionally, prioritize multiple projects, and deliver results in a fast paced development environment. 
• Strong hands-on testing experience at a test facility or in unstructured environments.
• Bonus Points:  
  • Proficiency in Python or C++.
  • Experience developing, implementing, and/or training human-in-the-loop remote assistance tools for autonomous vehicles
  • Experience with requirements and test management tools such as JAMA or similar.
  • Experienced in the Systems Engineering V-Model and its application to V&V workflows.
  • Knowledge of safety critical development standards (e.g. ISO 26262) and familiarity with SOTIF and UL4600.

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.)

We are looking for an Engineering Technician to join us in building and maintaining our experimental and operations vehicles.

In this role, you will:

• Be a core member on the Engineering team responsible for building high quality prototype and first article builds of autonomous technology
• Generate work instructions, redlines, and manufacturing/service feedback for the engineering team
• Perform incoming quality inspections for contract manufacturing builds
• Organize and manage prototype test setups/fixtures
• Perform testing on mechanical and electrical components and assemblies
• Perform soldering, mechanical assemblies, and subsystem builds
• Manage BOMs and organize lab inventories
• Maintain a clean, safe, and organized working environment throughout builds and engineering tests

What you’ll bring:

• 5+ years of experience working in an R&D or development lab environment in close collaboration with engineering staff. Strong hands-on background. Diverse experience in the automotive, aerospace or related industry is a plus.
• Experience with prototype builds, testing and operating test equipment
• Strong electrical diagnostics experience. You know how to chase down any electrical gremlins and correct them. Extensive knowledge of electrical systems, wiring, and all necessary equipment. Able to read schematics, electrical diagrams, harness diagrams, etc.
• Reliability and consistency. You have a track record of meticulous work. You are comfortable developing and practicing methodical service through the use of checklists, protocols, and work documentation.
• Clear communication. You are comfortable providing feedback to engineers, and sharing insights with the team at large to improve products and processes. You know how to collaborate, and when to get secondary inspection and review for safety-critical decisions.
• Innovative mindset. You like to find ways to improve the system you are working on. You can solve problems and complete tasks even when the path to the solution is not clear at the outset.

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.)

We are seeking a highly skilled and proactive Senior Cloud Security Engineer to join our growing security team. In this role, you will be the primary architect and guardian of our central command and control center application environment, ensuring that our cloud-native platforms—and the data within them—remain secure against an evolving threat landscape.

The ideal candidate bridges the gap between traditional security engineering and modern DevOps, possessing a deep understanding of how to secure multi-tenant cloud environments without compromising agility.

In this role, you will:

• Scope, design, and build complex security systems end to end, maintaining them through production and driving through ambiguous technical challenges with minimal oversight
• Identify systematic risks through threat modeling and risk assessment, then build the controls and infrastructure that address them
• Enable other teams to build their own security solutions by providing design pattern guidance and expanding security ownership beyond the security team
• Developer security and supply chain
• Build and advance our developer security program by embedding security practices into the software development lifecycle and developer workflows
• Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement
• Identity and secrets management
• Architect systems that protect sensitive assets including model weights, customer data, and training datasets
• Build and operate credential issuance, rotation, and workload authentication across our multi-cloud environments

Infrastructure security

• Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments
• Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security
• Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation

Secure frameworks

• Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities and empower engineering teams to work securely without becoming security experts themselves
• Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls

What you'll bring:

• At least 6 years of software engineering experience with deep security expertise, including leading complex security initiatives independently
• Bachelor's degree in Computer Science or equivalent industry experience
• Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++
• Deep understanding of identity systems, cryptographic primitives, and secrets management
• Working knowledge of Kubernetes security primitives including RBAC, namespaces, network policies, and service accounts
• Experience leading cross-functional security initiatives and navigating complex organizational dynamics
• Outstanding communication skills, translating technical concepts effectively across all levels of the organization
• A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution
• Low ego and high empathy, with a history of growing the engineers around you and supporting diverse, inclusive teams

Bonus Points for:

• Designed or operated identity and secrets management systems for large-scale AI or cloud infrastructure
• Built security frameworks or libraries adopted across an engineering organization
• Led a developer security program including supply chain security, secure build infrastructure, and SDLC integrations
• Built or secured CI infrastructure using Nix, Bazel, or Kubernetes-based deploy systems, with depth in toolchain issues, CI/CD pipelines, and developer workflow optimization
• Implemented machine identity or workload authentication systems using SPIFFE/SPIRE, mTLS, or equivalent
• Understanding of Linux systems internals including namespaces, cgroups, and seccomp, and how these underpin container and workload isolation
• Contributed to the security architecture of multi-cloud environments including network segmentation, data protection, and access governance
• Experience with network security controls including admission controllers, CNI-level policy, service mesh security, and east-west traffic enforcement
• Experience building runtime security monitoring using eBPF or kernel security policies

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.)

As a Senior Cybersecurity Compliance Engineer at Kodiak AI, you will work at the intersection of traditional IT security, embedded systems engineering, and rigorous international safety regulations. Unlike a general compliance role, this position requires a deep understanding of how software interacts with vehicle hardware to ensure public safety.

In this role, you will:

• Establish and maintain a Cybersecurity Management System (CSMS) to ensure the organization has appropriate security measures across development, production, and post-production.
• Manage security requirements and risk treatment for self-driving platform features throughout the entire product lifecycle (concept, development, operation, and incident response).
• Partner with Functional Safety teams to evaluate the overlap between cybersecurity (ISO 21434) and functional safety (ISO 26262) to mitigate physical safety implications of cyber threats.
• Drive compliance efforts across various security frameworks, encompassing both general IT and autonomous vehicle (AV) specific standards. This includes:
• NIST SP 800-171: Focusing on CMMC and Controlled Unclassified Information (CUI) security.
• NIST SP 800-53: Addressing SaaS security.
• SOC2: Ensuring customer data protection.
• ISO/SAE 21434: Leading initiatives for emerging road vehicle cybersecurity engineering standards.
• Support Kodiak’s management team by providing written and verbal responses to potential partners and customers.
• Design and audit security controls for our off-vehicle infrastructure, ensuring data integrity and end-to-end encryption.
• Conduct technical risk assessments of our hardware components and partners, ensuring every link in the supply chain meets our high security bar.
• Track remediation progress with owner teams, escalate blockers, and ensure clean issue closure
• Participate in incident investigations by gathering technical evidence and supporting impact analysis
• Maintain high-quality documentation, runbooks, and operational updates
• Identify process gaps and contribute practical workflow improvements that reduce manual toil

What you'll bring:

• 6+ years of relevant experience in cybersecurity, vulnerability management, security operations, application security, or related security engineering
• 3+ years in Autonomous Vehicles, Aerospace, or Robotics.
• Deep familiarity with the NHTSA AV Framework and experience applying SOC2 or ISO 27001 to safety-critical hardware/software environments.
• Ability to work with C++ or Python for security scripting and experience with cloud-native security tools (AWS/GCP).
• Understanding of embedded systems security and how to protect safety-critical functions from external communication ports.
• Strong understanding of vulnerability assessment fundamentals (CVSS, exploitability, risk prioritization, remediation tradeoffs)
• Strong written and verbal communication skills for cross-functional collaboration
• Demonstrated execution ownership in operational security work

Bonus Points for:

• Exposure to security automation/SOAR platforms (for example Tines, Splunk SOAR, or equivalent)
• Experience with container/Kubernetes vulnerability workflows
• Familiarity with hardware-adjacent vulnerability domains (GPU/DPU firmware, BMC/IPMI)
• Experience supporting compliance evidence collection (SOC 2, ISO 27001, FedRAMP, or similar)
• Experience in high-growth or fast-moving infrastructure environments
• Exposure to AI-assisted security workflows and human-in-the-loop validation
• Expert knowledge of communication protocols such as CAN, CAN-FD, Automotive Ethernet, and LIN, including their common vulnerabilities (e.g., message injection, spoofing, DoS).
• Implementation of Public Key Infrastructure (PKI) for secure boot, secure Over-the-Air (OTA) software updates, and encrypted in-vehicle communication.
• Experience leading or performing hands-on penetration testing against Electronic Control Units (ECUs), telematics units, and ADAS sensors.
• Strong understanding of secure architectural patterns for embedded systems, including hardware security modules (HSMs) and Trusted Execution Environments (TEE).

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.)

Kodiak AI is looking for an experienced and proactive IT Helpdesk Lead to scale out our IT support function. In this role, you will be the primary owner of the employee technology experience. You will start as a hands-on "department of one," establishing core processes and tools, with the explicit goal of hiring, training, and managing a team of 2-3 IT Analysts as we scale.

This is a unique opportunity to help further define the culture of IT at Kodiak AI. We are looking for someone who champions a "Shift Left" mentality—moving knowledge closer to the user through automation and self-service—while ensuring high-touch support for complex issues.

In this role, you will:

Build and Manage the Helpdesk Function

• Establish Processes: Design and implement scalable IT Service Management (ITSM) workflows, including ticket prioritization matrices, Service Level Agreements (SLAs), and escalation paths.
• Tool Implementation: Configure and manage the ticketing system (e.g., Jira) and asset management tools (Snipe-IT) to ensure data-driven decision-making.
• Team Growth: Define the roadmap for the IT support team. You will be responsible for helping to hire and mentor future analysts, fostering a culture of empathy and technical excellence.

Hands-On Support & Operations 

• Access Management: Manage Identity and Access Management (IAM) for internal tools. A key focus will be automating "low-effort" tickets (such as password resets or simple access requests) to prevent bottlenecks for our engineering and DevOps teams.
• Incident Management: Serve as the primary point of contact for technical issues, troubleshooting hardware (Mac/Windows PC/Linux PC), software, and network connectivity problems.
  
• Provide end user guidance to Ubuntu Linux.
• Management of 35+ Zoom conference rooms across multiple locations
• Collaboration and support of Events Team with the following audio/visual equipment and events:
• Live and recorded podcasts, industry interviews, and talks featuring leadership
• All-hands meetings, and other events utilizing the All-hands AV and spaces
• General support and troubleshooting of all audio visual systems

Employee Lifecycle Management

• Onboarding: create a "zero-day" start experience by ensuring new hires have fully configured hardware and access to all necessary SaaS platforms on their first day 
• Offboarding: Securely manage the retrieval of assets and revocation of access for departing employees, ensuring data security and compliance.
• Collaborate with People Ops, Legal and IT Infrastructure team to evolve employee life cycle workflows as needed.

Documentation & "Shift Left" Strategy

• Knowledge Base: Build a robust internal knowledge base (FAQs, wikis) to empower employees to solve common issues themselves (Tier 0 support).
• Automation: Work with Engineering/DevOps to identify repetitive requests and implement self-service tools (e.g., Slackbots or automated provisioning workflows) to reduce manual toil.

What you’ll bring:

• Experience: 5+ years in IT support, with at least 2-3 years in a Lead, Senior, or Supervisory role.
• Deep expertise in administering SaaS environments (Google Workspace, Linux, Slack, Zoom, Okta, etc.).
• Strong knowledge of MDM solutions (Jamf, Kandji, or Intune) for automated device provisioning.
• Familiarity with CrowdStrike is a strong plus.
• Familiarity with Jira/Atlassian suites is a strong plus.
• Familiarity with building out studio setups and running audio and visual equipment a strong plus
• Leadership Potential: Proven ability to mentor junior staff and manage vendor relationships. You must be ready to transition from being a sole contributor to a player/coach, participating and leading the helpdesk.
• Empathy: You understand that a broken laptop isn't just a ticket; it’s a blocker to someone’s livelihood. 
• Communication: Ability to translate technical jargon into clear language for non-technical stakeholders.

Why Kodiak AI?

• Ownership: You aren't just joining a helpdesk; you will help define it.  You will collaborate with the IT Infrastructure team to define the metrics and chart the success of the Kodiak Helpdesk. 
• Culture: We value efficiency and automation. We want you to spend less time resetting passwords and more time building systems that prevent passwords from needing resets.

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.)

We are looking for a Senior Systems Engineer to join us and support the development, integration, and verification of electrical and embedded systems as we bring the Kodiak Autonomy System to market. This role focuses on system and subsystem behavior across electrical hardware, embedded software, communications, and power, with opportunities to grow into broader system architecture ownership over time. The emphasis is on hands-on execution, fault-aware design, and real-world validation on vehicle platforms operating across approved operational design domains.  The purpose of this role is to ensure that electrical subsystems and embedded behavior are robust, fault-aware, and verifiable, while providing a growth path toward broader system architecture responsibility as the autonomy platform scales.

In this role, you will:

• Support and contribute to system and subsystem-level design associated with applying the Kodiak Autonomy System to multiple truck platforms and operating environments
  
• Own and drive execution of electrical and embedded subsystems, including:
  • Power distribution and protection
  • Electrical fault detection, recovery, and safe-state behavior
    
  • Hardware–software interaction and supervisory mechanisms
    
• Gather stakeholder needs and translate them into clear, testable system and electrical requirements
• Develop and assess subsystem-level solutions, evaluating power draw and power integrity, network communications (CAN, LIN, Ethernet), and fault behavior and degraded modes
• Assess performance and robustness through analysis, design review, and hands-on validation
• Support system architecture efforts by providing subsystem trade studies, design reviews and technical input, and Verification and validation evidence
• Guide and support hardware and software teams in generating the work products needed to mature subsystem designs, including electrical schematics and board designs, embedded firmware behavior, and verification and validation artifacts
  
• Drive subsystem readiness to support truck builds, integration, and test
• Develop and maintain technical documentation, including subsystem diagrams and interface definitions and fault and dependency mappings
• Interface and communicate effectively with Hardware, Software, Infrastructure, Product, Systems, and Safety teams
• Support bench testing, vehicle integration, and test-site activities as needed
• Up to 10% travel to test sites may be required

What you’ll bring:

• Bachelor’s degree or higher in Electrical Engineering, Computer Engineering, Mechanical Engineering, or a related field, or equivalent professional experience in a high-technology environment
• Minimum 5 years' experience working at the system and subsystem level for autonomous, automotive, industrial, or safety-critical systems
  
• Strong experience with electrical and embedded system analysis, including Power distribution and protection, Network communications and physical-layer behavior (CAN, LIN, Ethernet), and Hardware–software interaction and timing
  
• Experience designing for and reasoning about fault management, including Watchdogs and supervisory mechanisms, and Electrical fault detection and recovery 
  
• Familiarity with safety-aware system design concepts, safety design patterns, and fault containment strategies
  
• Experience working in the context of safety standards such as ISO 26262 or similar
  
• Experience with system and subsystem verification and validation, including: Bench-level testing and Hardware-in-the-loop (HiL) or similar environments
  
• Ability to read, understand, and critique Electrical schematics and board designs (e.g., Altium) and Embedded C/C++ code related to hardware behavior and fault handling
  
• Working knowledge of configuration management and traceability from requirements to implementation and test
• Bonus Points: experience using Python for validation, test automation, or data analysis; experience with power distribution systems (12V / 24V / 48V domains); Familiarity with BASE-T, BASE-T1, GMSL2; Knowledge of higher-layer networking concepts (UDP/TCP, Linux networking); Experience with DFMEA or similar failure analysis methods; Hands-on experience with vehicle integration, harnessing, or electrical bring-up

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.)

We are looking for a Senior Vehicle Integration Engineer with a field support focus to keep our deployed autonomous systems running at customer sites. You'll own fleet uptime, lead root cause investigations, and act as the technical bridge between customers, field operations, and product engineering — working across hardware, software, firmware, and systems integration to resolve issues fast and drive long-term reliability.

In this role, you will:

• Respond rapidly to field failures and technical support requests to maintain system uptime
• Travel frequently to customer and deployment sites to troubleshoot and resolve complex issues (min. 30% travel expected)
• Lead cross-functional root cause analysis (RCA) across electrical, mechanical, firmware, and software domains
• Drive corrective and preventive actions to eliminate repeat failures
• Support implementation of design changes through prototyping, validation testing, and integration at customer sites
• Source and define technical requirements for field-facing hardware and integration designs based on real-world failure data and operational needs
• Improve diagnostic strategies and tooling to detect and isolate failure modes more rapidly, and recommend reliability enhancements based on operational performance data
• Perform preventative, corrective, and predictive maintenance on autonomous platforms
• Provide direct design feedback to product and hardware engineering teams grounded in hands-on field experience
• Create and review documentation including schematics, drawings, build instructions, and troubleshooting guides

What you'll bring:

• Strong bias toward action. You take ownership of ambiguous problems, move quickly to contain issues, and deliver results without waiting for perfect clarity.
• Hands on. You are just as comfortable with a wrench as a keyboard. Proven experience debugging and assembling complex hardware/software systems, ideally in autonomous vehicles, robotics, or similarly advanced systems.
• Systems thinker. Strong troubleshooting ability across electrical, mechanical, and software domains. Deep familiarity with automotive and embedded electronics, including communication protocols such as Ethernet, CAN, LIN, and 100BASE-T1.
• Design-minded. Track record of contributing to hardware or systems design reviews with practical, implementation-focused feedback. You translate field observations and failure trends into actionable design requirements.
• Comfort operating in Linux environments and using terminal-based diagnostic tools.
• Experience with scripting or programming languages such as Python, C++, C, Bash, or ROS.
• Ability to independently solve complex, novel technical problems with minimal guidance.
• Great communicator. Strong written and verbal skills across diverse audiences — you can explain a firmware bug to a customer and write a clear troubleshooting guide for the field team.

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.)

We are looking for a highly skilled Perception Intern to join us and solve real-world robotics problems.

In this role, you will:

• Be responsible for designing perception algorithms and implementing them in robust, efficient, and well-tested C++ code.
• Solve real-world perception challenges such as object detection and classification, multi-object tracking, sensor fusion, and scene estimation.
• Integrate both novel and well-established techniques such as deep neural networks, decision trees, Kalman and particle filters, or point cloud processing on camera, laser, radar, and ultrasound data.
• Collaborate closely with other experts on the team, including the AI, planning, and systems engineering teams.

What you’ll bring:

• Strong technical background.
• You are currently pursuing a MS or PhD and have experience designing and implementing perception algorithms; exceptional candidates pursuing a BS considered. 
• You are a skilled software engineer with experience in C++ and strong problem-solving skills. 
• You are passionate about solving real-world robotics problems, and you have ideally worked on autonomous robots before. Prior knowledge of working with deep neural networks is a strong plus.
• A team player. You take ownership and work with the team to deliver exceptional results. You are interested in the performance of the entire system across engineering disciplines.
• Ability to build and iterate quickly. You enjoy working fast and smart, and you are comfortable in the earlier stages of developing an algorithm from scratch.
• Hands on. You dig deep into important details such as the sensor driver if it improves the overall system.
• You like working with production machine learning pipelines, from dataset collection and labeling to training and validation.
• Great communicator. You have experience writing clear, concise, and detailed documentation.

Internship Program Details:

• Start Date: September 2026.
• Our internship program is 12-16 weeks; the end date is flexible based on individual needs.
• Location: Mountain View, CA.
• Housing: interns are responsible for housing.

What we offer:

• A fast paced environment where we work with talented, committed and supportive teammates.
• Competitive pay.
• Excellent medical, dental and vision benefits.  A beautiful facility in Mountain View.
• We love our dogs, so we are a dog friendly office!
• Free catered lunch.

We are looking for a highly skilled Controls Intern to join us and solve real-world robotics problems. Our ideal candidates exhibit a can-do attitude and approach their work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields and to possess the ability to learn quickly within a fast-paced environment.

In this role, you will:

• Develop your coding skills on a production-level codebase.
• You should be comfortable reading and writing modern C++ code.
• Collaborate with other engineers on a day-to-day basis.
• Help advance the state-of-the-art autonomous trucking platform.

What you’ll bring:

• Field(s) of study: Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering or other related fields.
• Are currently pursuing a degree at an accredited university.
• Juniors, Seniors, or graduate students.
• Are excited to work on autonomous trucks that are running in the real world. 
• Knowledge of controls fundamentals.
• Experience with embedded systems (e.g., CAN).
• Are motivated by challenging problems without clear-cut solutions.

Bonus point if you have:

• Comfort with vehicle dynamics and modeling.
• Experience with safety-critical systems.
• Experience with systems engineering practices.
• Knowledge of modern revision tracking systems (e.g. git).

Internship Program Details

• Start Date: September 2026.
• Our internship program is 12-16 weeks; the end date is flexible based on individual needs.
• Location: Mountain View, CA.
• Housing: interns are responsible for housing

What we offer:

• A fast-paced environment where we work with talented, committed, and supportive teammates.
• Competitive pay.
• Excellent medical, dental, and vision benefits.  
• A beautiful facility in Mountain View.
• We love our dogs, so we are a dog-friendly office!
• Free catered lunch.

Join Kodiak as a Behavior Planning Intern! As an intern on our Motion Planning team, you will work on developing core decision-making and motion planning algorithms that drive our autonomous trucks. Intern projects may include improving strategies for navigating complex highway merges, optimizing lane change behaviors, and refining low-speed behavior in industrial operations. This role offers a hands-on opportunity to contribute to cutting-edge AV technology while gaining valuable experience in real-world autonomous driving scenarios.

In this role, you will:

• Receive mentorship from top-level robotics engineers.
• Advance a state-of-the-art autonomous trucking platform.
• Deploy code on autonomous trucks operating in the real world. Gain hands-on experience with industry-standard tools and methodologies used in robotics and autonomous vehicles.
• Strengthen your coding skills by working with a production-level codebase, with a focus on modern C++. 
• Work in a collaborative and innovative work environment.
• Design and implement solutions to complex robotics problems.
• Have potential opportunities for full-time roles.

What you’ll bring:

• Field(s) of study: Computer Science, Electrical Engineering, Machine Learning, Aerospace Engineering, Mechanical Engineering, or other related fields.
• Are currently pursuing a degree at an accredited university.
• Juniors, Seniors, or graduate students.
• Strong C++ and Python programming skills.
• Strong kinematics, linear algebra and calculus.
• Ability to to solve basic optimization problems.
• Ability to solve basic computational geometry problems.
• Solid understanding of motion planning, decision-making, and trajectory optimization for autonomous systems.

Internship Program Details:

• Start Date: September 2026.
• Our internship program is 12-16 weeks; the end date is flexible based on individual needs.
• Location: Mountain View, CA.
• Housing: interns are responsible for housing.

What we offer:

• A fast-paced environment where we work with talented, committed, and supportive teammates.
• Competitive pay.
• Excellent medical, dental, and vision benefits.  
• A beautiful facility in Mountain View.
• We love our dogs, so we are a dog-friendly office!
• Free catered lunch.

We are looking for a highly skilled Data Science Intern to join us and solve real-world robotics problems. Our ideal candidates exhibit a can-do attitude and approach their work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields and possess the ability to learn quickly in a fast-paced environment.

In this role, you will:

• Design and execute data-driven analyses to identify and mitigate potential safety risks within perception systems, enabling the development of thorough safety case arguments.
• Facilitate development of our data platform and ensure cleanliness.
• Correlate performance of the Kodiak Driver on-road with simulation results.
• Work closely with the perception and system team and ensure the teams are supported with data necessary to make timely, informed decisions.

Qualifications:

• BS, MS or PhD in Computer Science, Statistics, Operations Research or related quantitative technical fields.
• Strong understanding of data aggregation and interrogation statistics metrics implementation & underlying mathematical/statistical principles.
• Thinking with a safety mindset.
• Ability to communicate complex data in a simple, actionable way.
• Practical knowledge of common data analysis, inference, and statistical modeling tools, using Python and SQL.
• Take ownership and enjoy working with the team to deliver actionable results.
• Internship experience using machine learning or statistical analysis to build data-driven product solutions or developing methodological research.
• Familiarity with version control systems like Git and experience with software development workflow.
• Experience with modeling quantities of interest as random variables using distributions and uncertainty quantification.

Internship Program Details:

• Start Date: Sept 2026.
• Our internship program is 12-16 weeks; the end date is flexible based on individual needs.
• Location: Mountain View, CA.
• Housing: interns are responsible for housing.

What We Offer:

• A fast paced environment where we work with talented, committed and supportive teammates.
• Competitive pay.
• Excellent medical, dental and vision benefits.  
• A beautiful facility in Mountain View.
• We love our dogs, so we are a dog friendly office!
• Free catered lunch.

We are looking for a highly skilled AI/ML Intern with a solid grasp of Computer Vision and Foundation Models, to tackle real-world challenges in robotics. The perfect candidate for our team is someone who embodies a proactive, can-do mindset, tackling tasks with enthusiasm and persistence. We expect our interns to not only excel in their field but also to rapidly adapt and thrive in our fast-paced, innovative environment. This role is ideal for individuals eager to demonstrate their expertise and eager to grow in a cutting-edge technological setting.

In this role, you will:

• Design and implement state-of-the-art machine learning algorithms using robust, efficient Python code, ensuring high-quality evaluations and reliability.
• Lead the development of innovative deep neural networks to address key robotics problems, such as end-to-end learning, 3d scene understanding, 3D object detection, 3D world reconstruction, and self-supervised learning.
• Work with various sensor technologies like cameras, lidars, and radars to create and refine machine learning datasets, enhancing performance with growing data.
• Develop and manage automated AI flywheel, ensuring seamless integration and efficiency in the machine learning process.
• Work within Kodiak's advanced software ecosystem, pushing the frontiers of existing autonomous systems through continuous innovation and development.

What you’ll bring:

• Strong technical background. You are currently pursuing an MS or Ph.D. and have hands-on experience in designing and implementing deep neural networks; exceptional candidates pursuing a BS are considered. 
• You are a skilled engineer with experience in applied AI research, Python programming, and strong problem-solving skills.
• You are passionate about solving real-world robotics problems, and you have ideally worked on autonomous robots before.
• A team player. You take ownership and work with the team to deliver exceptional results. You are interested in the performance of the entire system across engineering disciplines.
• Ability to build and iterate quickly. You enjoy working fast and smart, and you are comfortable in the earlier stages of developing an algorithm from scratch.
• Hands-on. You are not only passionate about ML research but also experienced working with production machine learning pipelines, from dataset curation to training and validation.
• Great communicator. You have experience writing clear, concise, and detailed design documents. You can enable your colleagues to leverage the ML models resulting from your work in their algorithms and systems.

Internship Program Details:

• Start Date: September 2026.
• Our internship program is 12-16 weeks; the end date is flexible based on individual needs.
• Location: Mountain View, CA.
• Housing: interns are responsible for housing.

What we offer:

• A fast paced environment where we work with talented, committed and supportive teammates.
• Competitive pay.
• Excellent medical, dental and vision benefits.  A beautiful facility in Mountain View.
• We love our dogs, so we are a dog friendly office!
• Free catered lunch.