Principal Place and Route (PnR) Engineer
SambaNova Systems is hiring a Principal Place and Route (PnR) Engineer in Austin and San Jose, United States. It pays $1000k a year and Level rates it ; you can apply on SambaNova Systems.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions vLLM and PyTorch among its tools and skills.
- Level classes it as a lead role.
- SambaNova Systems has 71 other open roles on Level.
- Posted in the last few days.
AI in this role
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 Place and Route team writes the software that maps dataflow graphs onto SambaNova’s Reconfigurable Dataflow Unit (RDU). Our tools partition each graph, place the pieces on the chip’s compute and memory units, and route the communication between them. The quality of that mapping sets the throughput of the compiled program, including large language model inference and training. We are looking to grow our team with highly motivated engineers who want to utilize advanced algorithms to solve challenging problems.
About the Role
You will develop and tune the partitioning, placement, and routing algorithms that map customer workloads onto the RDU. You will work with the compiler team, hardware architects, and performance engineers to model new hardware constraints and trace throughput gaps back to mapping decisions. Your changes will ship in production releases and show up in measured performance.
Responsibilities
- Develop partitioning, placement, and routing algorithms that meet hardware resource constraints and keep compile times practical
- Tune PnR results for target workloads, including LLM inference at different batch sizes and concurrency levels
- Model new hardware constraints and architecture features in our solvers and heuristics as the chip evolves
- Analyze compiled output with performance engineers and trace throughput gaps back to mapping decisions
- Build the infrastructure for prototyping, regression testing, and deployment of PnR changes
- Work with the compiler and hardware teams to define interfaces and resource models
Required Qualifications
- M.S. or Ph.D. in Computer Science, Computer Engineering, or related field
- 3+ years of experience developing optimization or graph algorithms in industry or research
- Expert knowledge of graph algorithms, partitioning algorithms, combinatorial optimization, or MILP solvers
- Strong proficiency in C/C++
- Familiarity with Python
- Experience designing large, highly parallel, performance-sensitive systems
- Ability to learn hardware architecture and apply it to improve performance
- Experience solving NP-hard problems in practice with heuristics, approximation, or pruned exact methods
Preferred Qualifications
- Experience with place and route for FPGAs, CGRAs, or other spatial architectures
- Experience with ML compilers such as MLIR, LLVM, TVM, or XLA
- Experience with simulated annealing, constraint programming, or SAT/SMT solvers
- Familiarity with LLM inference stacks such as vLLM and PyTorch
- Publications at venues such as FPGA, DAC, ICCAD, or MLSys
Base Salary Range:
Base Pay Range$1—$999,999 USDSubmission 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.
How we rate this
Principal Place and Route (PnR) Engineer at SambaNova Systems rates 88 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used vLLM hands-on?
- Walk me through how you've used PyTorch in your day-to-day work.
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: vLLM and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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