Performance Benchmarking Engineer - RISC-V Workloads

Join to apply for the Performance Benchmarking Engineer - RISC-V Workloads role at Braintrust

Performance Benchmarking Engineer - RISC-V Workloads

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Join to apply for the Performance Benchmarking Engineer - RISC-V Workloads role at Braintrust

Job Description

We’re looking for a hands-on engineer to support benchmarking and performance analysis of real workloads running on a custom RISC-V processor, implemented in both silicon and FPGA-based environments.

Job Description

We’re looking for a hands-on engineer to support benchmarking and performance analysis of real workloads running on a custom RISC-V processor, implemented in both silicon and FPGA-based environments.

You’ll be responsible for executing, automating, and analyzing application-level benchmarks to help evaluate system throughput, scalability, and efficiency. Your work will directly influence hardware optimization and shape how we present performance data to external partners and customers.

Responsibilities:

• Run and monitor Redis, MongoDB, ElasticSearch, and other similar workloads on pre-configured systems.
• Vary workload parameters (e.g. thread/core counts, memory configurations) to explore performance boundaries.
• Capture and log key metrics like:
• Operations per second
• Power usage
• Latency
• Ops/sec per watt
• Compare results across configurations and flag anomalies or bottlenecks.
• Automate test runs and data collection where possible.
• Work with internal engineering to interpret patterns and iterate on performance hypotheses.
  
  

• Running performance benchmarks (e.g., Redis, MongoDB, ElasticSearch)
• Linux system experience (Fedora 29 or similar)
• Scripting for automation (Python, Bash, or Go)
• Basic data analysis (e.g., aggregating logs, calculating throughput, visualizing metrics)
• Experience working in CI/CD environments or remote test infrastructure
  
  

• Redis/Mongo/Elastic performance tuning
• Experience collecting metrics like ops/sec, latency, power usage
• Familiarity with performance visualization tools (Grafana, Datadog, or similar)
• Comfort with custom or constrained environments (e.g., no package managers, legacy OS versions)
  
  

• Exposure to FPGA-based platforms like Zebu, FireSim, or Veloce
• Understanding of many-thread architectures or massively parallel hardware
• Prior experience benchmarking on non-x86 or pre-silicon systems
• Familiarity with profiling tools (e.g., perf, top, htop, or low-level instrumentation)
• Experience working with distributed NoSQL systems under load
  
  

• High thread count per core
• A design optimized for efficiency per watt, not peak single-threaded performance
• Unique memory behavior and thread scheduling characteristics that affect how workloads scale
  
  

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Contract

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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