As an Applied AI Engineer, you will develop generative models to enhance adaptability in AI systems, implement advanced techniques such as diffusion and autoregressive learning, and build self-improving AI pipelines for effective decision-making.

The Applied AI Engineer will develop multimodal AI models integrating sensor data, build architectures for AI reasoning, research learning techniques, optimize models for real-time inference, and work with large datasets.

As an Applied AI Engineer, you will develop foundation models that can operate in diverse real-world environments, build scalable training pipelines, and optimize these models for dynamic AI systems while collaborating with engineering teams to enhance real-world autonomy applications.

As an Applied AI Engineer, you will develop deep learning models for computer vision, design scalable training pipelines, work with large image/video datasets, research learning techniques, and collaborate with teams to integrate models into production.

You will be responsible for designing and implementing deep learning algorithms for computer vision applications, including lane detection and object classification. The role emphasizes collaboration, hands-on experience with machine learning pipelines, and problem-solving in robotics.

As an Operations Specialist at Kodiak, you will communicate with safety operators, accurately track progress, manage info in the Truck Management System, set schedules, create SOP documentation, troubleshoot system issues, report trip issues, and assist with AV system setup. Qualifications include critical thinking, problem-solving skills, knowledge in Google Office, organizational skills, and experience in troubleshooting in a call center environment.

Design, implement, and evaluate training programs aligned with organizational goals, prioritize safety, oversee training and development staff, identify future training needs, partner with subject matter experts, maintain training records, proficiency in all operational roles, responsible for conducting training.

Join Kodiak Robotics as a Class A Safety Driver to help deploy autonomous driving technology. Responsibilities include operating trucks, ensuring safety compliance, and working flexible shifts. Ideal candidates have at least 3 years of Class A driving experience and a clean driving record.

The Vice President of Finance will lead financial strategy and performance at Kodiak Robotics, guiding financial planning, managing cash flows, and executing growth strategies. The role includes developing insightful financial reporting, managing investor relations, and leading the finance transformation initiatives. Strong leadership, communication skills, and a focus on continuous improvement are essential in this key leadership position.

The Accounts Payable Specialist manages the procure to pay operations, ensuring timely processing of vendor invoices and employee expense reports. Responsibilities include reviewing invoices, processing payments, maintaining vendor reports, and ensuring compliance with tax requirements. The role supports the finance team and identifies process improvements for efficiency.

The Senior Product Manager will drive the development of Level 4 autonomous trucking solutions, focusing on product requirements and roadmaps. Responsibilities include leading requirements development, conducting customer discovery, collaborating with engineering teams, and synthesizing operational feedback into product improvements.

The Field Operations Manager oversees day-to-day operations for autonomous trucking, managing safety drivers, ensuring equipment readiness, and monitoring performance metrics. This role emphasizes communication between teams, adherence to safety protocols, and continuous operational improvement while handling customer relations and incident responses.

The Site Lead at Kodiak will oversee a team of technicians, ensuring efficient operations and safety at the facility. Responsibilities include scheduling work assignments, providing technical assistance, and maintaining company tools and equipment. The role emphasizes leadership, communication skills, and product development experience.

The Sr. IT Infrastructure Engineer will focus on implementing infrastructure automation and providing IT infrastructure administration. Key responsibilities include designing infrastructure as code with Terraform, automating deployments using Ansible, maintaining cloud and datacenter health, and assisting in onboarding new employees.

The Senior Technical Recruiter at Kodiak will recruit talented engineers, enhance the candidate experience, and partner with hiring managers. Responsibilities include managing the full recruitment cycle, maintaining ATS data, and improving recruitment processes, all while staying informed on technology trends.

As a Controls Software Engineer, you will design and implement control and actuation strategies for autonomous trucks, focusing on feedback, safety, and collaboration with cross-functional teams to deliver robust vehicle control architectures.

The Class A Safety Driver will operate a self-driving truck in Midland/Odessa, ensuring safe deployment of technology. Responsibilities include maintaining a clean driving record, passing required tests, and collaborating with the operations team.

The Strategic Finance Manager at Kodiak will support the finance organization, develop financial analyses and models, implement FP&A systems, analyze variances, and assist in recruiting. This role requires strong finance skills, analytical abilities, and communication skills, with a focus on collaborating with executives and stakeholders.

The Senior Electrical Hardware Engineer is responsible for the verification and validation of electrical designs in autonomous vehicles. The role involves DFMEA analysis, collaboration with hardware and firmware teams, and compliance with automotive safety standards. The engineer will also interface with external labs and define stress tests, ensuring reliable and safe operation of electrical systems.

The Senior AI Acceleration Engineer will optimize and accelerate machine learning models for embedded hardware, utilizing techniques like quantization and pruning. Responsibilities include developing custom kernels using CUDA and OpenCL, collaborating with cross-functional teams, and analyzing model performance to enhance efficiency.