{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. 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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.\n Kodiak's autonomy stack is built on AI that fuses diverse sensor streams into a unified, actionable understanding of the world. We are developing GigaFusionNet, a large-scale multimodal transformer that learns rich, joint representations across camera, LiDAR, and radar through attention-based fusion. We are looking for a technical leader to own the architecture direction of this effort and grow the engineers building it. This is a senior individual contributor role with significant scope. You will set technical direction for multimodal fusion at Kodiak, lead the workstream executing against it, and be accountable for the results landing on trucks. In this role, you will: \n \n Own the architecture roadmap for multimodal transformers that fuse camera, LiDAR, and radar into unified representations \n Lead the project end to end: problem framing, experiment design, implementation, and production deployment \n Drive research direction on cross-modal attention, token fusion strategies, and efficient multi-stream tokenization, and make the calls on what gets built \n Set the technical bar through design reviews, code reviews, and architectural decisions on scalable training pipelines \n Mentor junior and mid-level engineers, and raise the level of research execution across the org \n Define the pretraining strategy, including self-supervised and contrastive objectives that learn transferable multimodal representations \n Partner with perception, planning, and infrastructure leads to align model design with system-level latency and compute budgets \n \n What you’ll bring: \n \n PhD with 5+ years of industry experience, or MS/BS with 8+ years, in AI, Computer Science, or a related field \n Track record of leading multi-engineer technical efforts from research through production \n Deep expertise in transformer architectures, particularly in multimodal or multi-stream settings \n Strong command of cross-attention, token fusion, and modality alignment techniques \n Experience mentoring engineers and growing technical talent \n Expert proficiency in Python and PyTorch, including large-scale distributed training and mixed-precision optimization \n Ability to influence technical direction across teams without formal authority \n Passion for building AI that reasons over the full breadth of sensory input to operate safely in the real world \n \n What we offer: \n \n Competitive compensation package including equity and annual bonuses \n Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits) \n MetLife Legal Services, Identity \u0026 Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, \u0026 Critical Illness Insurance \n Flexible PTO, 10 paid holidays, and generous parental leave policies \n Our office is centrally located in Mountain View, CA \n Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging \n Long Term Disability, Short Term Disability, Life Insurance \n Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)  \n Fidelity 401(k) \n Commuter, FSA, Dependent Care FSA, HSA \n Various incentive programs (referral bonuses, patent bonuses, etc.) \n 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\n California Pay Range\n $230,000 — $300,000 USD \n  \n 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.\n  \n In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more ","salary_min":230000,"salary_max":300000,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["pre-training","pytorch","distributed-systems","autonomous-vehicles","data-pipeline","robotics","machine-learning","transformers"],"apply_url":"https://job-boards.greenhouse.io/kodiak/jobs/4363440009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-11T16:42:20Z","expires_at":"2026-09-29T13:38:44.644665Z","created_at":"2026-08-25T18:28:50.595861Z","updated_at":"2026-08-30T13:38:44.782694Z","company_name":"Kodiak Robotics","company_slug":"kodiak-robotics","company_logo_url":"https://www.google.com/s2/favicons?domain=kodiak.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/783b7feb-6610-43ee-9559-b9c3f01b699b"},{"id":"8a916d05-cd5c-4cb6-a0f5-08037ed70d5e","company_id":"a355eb2f-63c3-4c0a-803d-bc2d8312b6d8","title":"Inference Technical Lead, On-Device Transformers","slug":"inference-technical-lead-on-device-transformers-411f191c","description":"About the Team\n\nThe Future of Computing Research team is an applied research team in the Consumer Devices group focused on developing new methods and models to support our vision as we advance forward in our mission of building AGI that benefits all of humanity.\n\nAbout the Role\n\nAs a Technical Lead on the Future of Computing Research team, you will work together with both the best ML researchers in the world and the greatest design talent of our generation to push the frontier of model capabilities.\n\n\n\nThis role is based in San Francisco, CA. We follow a hybrid model with 3 days a week in the office and offer relocation assistance to new employees.\n\n\n\nIn this role, you will:\n\n - Evaluate and select silicon platforms (GPUs, NPUs, and specialized accelerators) for on-device and edge deployment of OpenAI models.\n\n - Work closely with research teams to co-design model architectures that meet real-world deployment constraints such as latency, memory, power, and bandwidth.\n\n - Analyze and model system performance, identifying tradeoffs between model design, memory hierarchy, compute throughput, and hardware capabilities.\n\n - Partner with hardware vendors and internal infrastructure teams to bring up new accelerators and ensure efficient execution of transformer workloads.\n\n - Build and lead a team of engineers responsible for implementing the low-level inference stack, including kernel development and runtime systems.\n\n - Run through the necessary walls to take nascent research capabilities and turn them into capabilities we can build on top of.\n   \n   \n\nYou might thrive in this role if you:\n\n - Have experience evaluating or deploying workloads on GPUs, NPUs, or other specialized accelerators.\n\n - Understand the performance characteristics of transformer models, including attention, KV-cache behavior, and memory bandwidth requirements.\n\n - Have designed or optimized high-performance compute systems, such as inference engines, distributed runtimes, or hardware-aware ML pipelines.\n\n - Have experience building or leading teams working on low-level performance-critical software such as CUDA kernels, compilers, or ML runtimes.\n\n - Have already spent time in the weeds teaching models to speak and perceive.\n\n\n\nAbout OpenAI\n\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. \n\nWe are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. \n\nFor additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.\n\nBackground checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.\n\nTo notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241\u0026k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg\u0026d=57018692298241.\n\nOpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf\n\nAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely","location":"San Francisco, CA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["gpu","inference","transformers","research"],"apply_url":"https://jobs.ashbyhq.com/openai/a653b035-a866-4a5c-9c2a-fda3c2950eee/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-13T19:42:05.389Z","expires_at":"2026-09-29T13:31:02.07801Z","created_at":"2026-04-13T09:36:33.706121Z","updated_at":"2026-08-30T13:31:02.217771Z","company_name":"OpenAI","company_slug":"openai","company_logo_url":"https://www.google.com/s2/favicons?domain=openai.com\u0026sz=128","quality_score":60,"url":"https://aidevboard.com/job/8a916d05-cd5c-4cb6-a0f5-08037ed70d5e"}],"page":1,"per_page":20,"total":2,"total_is_exact":true,"total_pages":1}