ML Infrastructure Engineer - New Grad
Austin, Texas, United States; San Jose, California, United States
- Pay
USD 131,200–196,800/year · BaseAnnual period assumed — pay source
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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingAs a new grad ML Infrastructure Engineer, you'll write production Python for our inference serving stack, including our vLLM integration and public APIs.
Implement inference features on the RDU, such as speculative decoding and tool calling
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
From the employer’s posting
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
What you’ll bring
All qualificationsCore experience
- B.S. in Computer Science, Electrical Engineering, or related field
- Strong programming skills in Python
- Experience with LLM serving frameworks such as vLLM, SGLang, or TensorRT-LLM
- Experience with inference techniques like speculative decoding, KV caching, or continuous batching
- Experience with PyTorch
Preferred experience
- Experience building or maintaining APIs or backend services
- Experience with disaggregated systems - prefill/decode
Qualification wording
B.S. in Computer Science, Electrical Engineering, or related field
Strong programming skills in Python
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
Experience building or maintaining APIs or backend services
Experience with disaggregated systems - prefill/decode
Education & alternatives
Preferred Qualifications - M.S. or Ph.D. in Computer Science, Electrical Engineering, or related field - Experience building or maintaining APIs or backend services
Tools in this posting
- Python
- PyTorch
Source — Tool mentions in context
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
- B.S. in Computer Science, Electrical Engineering, or related field - Strong programming skills in Python - Understanding of algorithms, data structures, concurrency, and systems design
- Experience with inference techniques such as speculative decoding, KV caching, or continuous batching - Experience with PyTorch Preferred Qualifications
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 2 days ago
- Recorded sightings
- 2
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on sambanova.ai. The employer’s form will show what is required.
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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:
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
Austin, Texas, United States; San Jose, California, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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