Baseten · 12 hours ago
Software Engineer, Model Performance Tooling
San Francisco, CA
Full-time
Hybrid
New Grad, Entry Level
$130K/yr - $200K/yrBaseten powers mission-critical inference for leading AI companies by providing flexible infrastructure and developer tooling. They are seeking early-career Software Engineers to build automated performance tools for their AI infrastructure, focusing on high-performance computing and model evaluation.
AI InfrastructureArtificial Intelligence (AI)Developer ToolsMachine LearningSoftwareSoftware Engineering
Responsibilities
Performance Benchmarking: Run and automate standard LLM quality benchmarks (GSM8K, MMLU) alongside custom performance suites for specific workloads (e.g., long-context window, KV cache reuse)
Infrastructure Validation: Create automated acceptance tests for new GPU clusters across x86 and ARM systems, measuring GPU memory bandwidth, networking throughput, and multi-node networking performance
Model Dev Experience: Develop and maintain internal GPU-enabled development environments (similar to GitHub Codespaces). You will ensure the team has seamless, high-performance "dev machines" optimized for model experimentation
Tool Development: Build and contribute to tools such as InferenceMAX and genai-bench to automate model evaluation and optimization
Deep Hardware Profiling: Use PyTorch Profiler and NVIDIA Nsight Systems to collect performance profiles, identify bottlenecks, and debug the NVIDIA compute/networking stack
Monitoring & Observability: Develop real-time dashboards and alerts to monitor system health, model startup times, and runtime performance
Continuous Integration: Automate performance testing via CI/CD pipelines to catch regressions in model setups before they hit production
Optimization Automation: Build tools to find the "Pareto frontier"—identifying the absolute best configuration (latency vs. cost vs. quality) for a given model and workload
Qualification
Required
A Love for Systems & Hardware: You aren't just interested in the AI; you want to understand GPU memory subsystems, InfiniBand, and how data moves across a cluster
An Automation Mindset: You believe that if a task has to be done twice, it should be scripted. You have a passion for stress-testing and fuzzy testing to find the 'breaking point' of a system
Mathematical Curiosity: A desire to understand the underlying math of Transformers and how it translates into FLOPs and memory requirements
Interest in Optimization: You are excited to learn about (or already play with) quantization, speculative decoding, disaggregated serving, and kernel-level optimizations
Preferred
Familiarity with Python
Eagerness to master the NVIDIA software stack
C++ familiarity is good to have
Benefits
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Company
Baseten
Baseten is an AI infrastructure company that integrates machine learning into business operations, production, and processes.
Founded in 2019
51-200 employees
H1B Sponsorship
Baseten has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6)
2024 (8)
2023 (1)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$585MKey Investors
BondGreylock
2026-01-20Series Unknown· $300M
2025-09-05Series D· $150M
2025-02-19Series C· $75M
Leadership Team
Aaron Relph
Design
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