Global Inference Library Engineer

This Jobot Job is hosted by: Grant Greenhalgh Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $175,000 - $250,000 per year A bit about us: We're a well-funded AI infrastructure startup developing modern software at the intersection of artificial intelligence, high-performance computing, and specialized hardware. The team is tackling complex performance challenges associated with running modern AI workloads across emerging compute architectures. Why join us? Well-funded by leading tech investors Cutting edge technical problems with complex solutions Lucrative Equity in a seed stage startup Competitive compensation Excellent benefits (healthcare, vision, dental) Job Details We’re looking for an engineer to help build and maintain a high-performance inference library designed to support modern AI models across a variety of compute architectures. The role is ideal for an engineer who understands how modern LLM inference systems work under the hood and enjoys squeezing maximum performance from complex compute environments. What We’re Looking For Strong experience building AI/ML infrastructure, inference systems, or high-performance computing software Strong programming experience with Python and C++, Rust, or similar systems languages Experience with LLM inference frameworks and model-serving infrastructure Hands-on experience with CUDA, ROCm, Triton, or similar GPU/accelerator programming technologies Experience developing, integrating, or optimizing performance-critical compute kernels Understanding of modern transformer and LLM architectures Familiarity with inference concepts including batching, attention, KV caching, quantization, and memory management Experience benchmarking and profiling AI workloads across different hardware environments Strong understanding of GPU or accelerator architecture and performance characteristics Experience with frameworks such as vLLM, TensorRT-LLM, SGLang, or similar inference technologies is highly valuable Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy