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 Runtime team owns the lowest level of the SambaNova software stack, the layer that talks directly to the hardware. We build the user libraries, drivers, networking, and system tools that run ML training and inference across SambaStack and SambaCloud.
About the Role
As a new grad Runtime Engineer, you'll write production code in C/C++/Rust and Python across drivers, user space libraries, networking, and system tools. You'll help bring up drivers on next generation silicon, test and deploy runtime features on large multi-node systems, and track down performance bottlenecks with the hardware and compiler teams.
Responsibilities
- Develop and maintain kernel drivers for next generation SambaNova silicon
- Build user space libraries that make efficient use of hardware resources
- Find and fix networking bottlenecks within and across nodes
- Build tools for profiling, debugging, and job and hardware management
- Test and deploy runtime features on large multi-node systems
- Work with the hardware and compiler teams to diagnose and fix performance issues
Required Qualifications
- B.S. in Computer Science, Computer Engineering, or related field
- Strong programming skills in C/C++/Rust and Python
- Experience with high speed networking such as RDMA, RoCE, or InfiniBand
- Experience with distributed communication libraries such as MPI, NCCL, or UCX
- Experience writing Linux kernel drivers or other system level software
- Experience with Linux and debugging tools such as GDB
Preferred Qualifications
- M.S. or Ph.D. in Computer Science, Computer Engineering, or related field
- Familiarity with PCIe
- Experience with profiling or performance analysis tools
- Internship or research experience in systems software, networking, or performance engineering
- 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.
SambaNova Systems Palo Alto, California, USA Office
Our Palo Alto office is in a tech complex known for incubating research facilities and borders the Bay Trail along the Don Edwards Wildlife Refuge. Only a 5-minute walk, our employees often fly out of PAO for lunch with colleagues or enjoy happy hour at the nearby Palo Alto Country Club.
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