Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. Join us and help build the platform engineers turn to ship AI products.
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. Join us and help build the platform engineers turn to ship AI products.
We're looking for inference performance engineers who want to make the world's most demanding AI workloads run faster and more efficiently. You'll work across the stack, from the inference engine and runtime through scheduling, serving, and routing. Along the way you'll apply techniques like prefill/decode disaggregation, speculative decoding, and KV-cache management. You'll reason from first principles about where time and memory go, find what's holding performance back, and close the gap. Your work directly impacts how fast our customers' models run and how efficiently we serve them. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM inference.
Agentic Kernels in ProductionHow we built the new fastest API for GLM-5.2Live draft model training for speculative decodingMaking Kimi K3 Tokenization 18x fasterThe Baseten Inference StackDriving model performance optimizationResponsibilities Implement and productionize cutting-edge inference techniques, working deep in runtime internals. Turn performance into cost savings. Improve tokens per GPU-hour, raise utilization,



and give customers and internal teams clear latency/throughput/cost tradeoffs.
Build benchmarking frameworks that measure real-world performance across model architectures, batch sizes, sequence lengths, and hardware configurations.
Contribute upstream to open-source inference engines (vLLM, SGLang, TensorRT-LLM), and partner closely with model, infrastructure, and customer-facing teams to ship wins.
Bachelor's, Master's, or Ph.
D. degree in Computer Science, Engineering, Mathematics, or related field.
Experience with one or more general-purpose programming languages, such as Python or C++.
Familiarity with LLM optimization techniques (e.
Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM.
Proficiency in enhancing the performance of software systems, particularly in the context of large language models (LLMs)Contributed to vLLM, SGLang, TensorRT-LLM, or another inference engine.
Worked on large-scale distributed serving: autoscaling, load balancing, multi-region or multi-cloud capacity.
Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions.
Competitive compensation, including meaningful equity(U.
S. only) 100% coverage of medical, dental, and vision insurance for employee and dependentsFlexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to Current Year's Day)Paid parental leaveFertility and family-building stipend through Carrot(U.
S. only) Company-facilitated 401(k)Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

📌 Software Engineer- Inference Performance (Canada)
🏢 Baseten
📍 Canada