ML Infrastructure Engineer - New Grad

SambaNova|27 Oct 2026

fulltimeonsite$131,200–$196,800 USD per year

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Before you apply

Listed location: Austin, Texas, United States; San Jose, California, United States

Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.

Stated pay: $131,200–$196,800 USD per year, as published by the employer.

Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.

Job description supplied by SambaNova; category and skill labels may be inferred. How our listings work · Report a problem

Job Description

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova'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 SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value.

About the Team

The ML Infrastructure team builds and operates the inference stack that serves SambaNova'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.

About the Role

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.

Responsibilities

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

Required Qualifications

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 PyTorch

Preferred Qualifications

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

Submission Guidelines
Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified.

EEO Policy
SambaNova 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.

Benefits Summary for US-Based, Full-Time Employment Positions
SambaNova 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.

Skills mentioned

PythonPyTorchLLMDistributed SystemsGPU

Frequently asked questions

Is the ML Infrastructure Engineer - New Grad position at SambaNova remote?

The ML Infrastructure Engineer - New Grad role at SambaNova does not have a confirmed remote arrangement in our data. Check the employer description for its work location.

What type of employment is the ML Infrastructure Engineer - New Grad role?

SambaNova is hiring for a full-time ML Infrastructure Engineer - New Grad position.

Which skills are mentioned for the ML Infrastructure Engineer - New Grad job at SambaNova?

Detected skill labels include Python, PyTorch, LLM, Distributed Systems, GPU. Check the employer description to distinguish required skills from preferred experience.