ML Infrastructure Engineer - New Grad

Samba Nova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of Samba Nova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications.

RDUs are packaged into Samba Rack, rack-scale hardware that lets customers deploy state-of-the‑art models with better performance, greater energy efficiency, and faster time to value.

The ML Infrastructure team builds and operates the inference stack that serves Samba Nova's models on our RDU accelerators. We cover request scheduling, caching, decoding techniques, public APIs, and the accuracy testing that every inference feature must pass before it ships.

As a new grad ML Infrastructure Engineer, you'll write production Python for our inference serving stack, including our vLLM integration and public APIs. You'll help bring features like speculative decoding, prompt caching, and tool calling into production on the RDU, and add accuracy and regression tests that catch problems before customers do.

• Implement inference features on the RDU such as speculative decoding, constrained decoding, tool calling, prompt caching, and long-context inference
• Adapt vLLM and related serving frameworks to the RDU architecture
• Build and maintain endpoints in the public inference API
• Write accuracy verification and regression tests for inference features
• Debug latency, throughput, and reliability issues in production services

• B.S. in Computer Science, Electrical Engineering, or related field
• Strong programming skills in Python
• Understanding of algorithms, data structures, concurrency, and systems design
• Coursework or project experience in distributed systems or machine learning
• Experience with LLM serving frameworks such as vLLM, SGLang, or TensorRT-LLM
• Experience with inference techniques such as speculative decoding, KV caching, or continuous batching
• Experience with Py Torch

• M.S. or Ph.D. in Computer Science, Electrical Engineering, or related field
• Experience building or maintaining APIs or backend services
• Internship or research experience in ML systems or backend infrastructure
• Experience with disaggregated systems - prefill/decode
• Open source project ownership or contributions

Base Salary Range:

Base Pay Range

$131,200—$196,800 USD

Samba Nova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

Samba Nova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care.

Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.