Baseten · 1 hour ago
Software Engineer - Model API's
Baseten is a company that powers mission-critical inference for leading AI companies. The Software Engineer - Model API's role involves designing and building the infrastructure for hosted API endpoints while ensuring performance and reliability of AI models in production.
Artificial Intelligence (AI)Developer ToolsMachine LearningSoftwareSoftware Engineering
Responsibilities
Design, build, and operate the Model APIs surface with focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling and multi-modal serving
Profile and optimize TensorRT-LLM kernels, analyze CUDA kernel performance, implement custom CUDA operators, tune memory allocation patterns for maximum throughput and optimize communication patterns across multi-GPU setups
Productionize performance improvements across runtimes with deep understanding of their internals: speculative decoding implementations, guided generation for structured outputs, custom scheduling and routing algorithms for high-performance serving
Build comprehensive benchmarking frameworks that measure real-world performance across different model architectures, batch sizes, sequence lengths, and hardware configurations
Productionize performance improvements across runtimes (e.g.TensorRT, TensorRT‑LLM): speculative decoding, quantization, batching, and KV‑cache reuse
Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks to measure speed, reliability, and quality
Implement platform fundamentals: API versioning, validation, usage metering, quotas, and authentication
Collaborate closely with other teams to deliver robust, developer‑friendly model serving experiences
Qualification
Required
3+ years experience building and operating distributed systems or large‑scale APIs
Proven track record of owning low‑latency, reliable backend services (rate‑limiting, auth, quotas, metering, migrations)
Infra instincts with performance sensibilities: profiling, tracing, capacity planning, and SLO management
Comfortable debugging complex systems, from runtime internals to GPU execution traces
Strong written communication; able to produce clear design docs and collaborate across functions
Preferred
Experience with LLM runtimes (vLLM, SGLang, TensorRT‑LLM) or contributions to open-source inference engines (vLLM, TensorRT-LLM, SGLang, TGI)
Knowledge of Kubernetes, service meshes, API gateways, or distributed scheduling
Background in developer‑facing infrastructure or open‑source APIs
We value infra‑leaning generalists who bring strong engineering fundamentals and curiosity. ML experience is a plus, but not required
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.
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
$285MKey Investors
BondGreylock
2025-09-05Series D· $150M
2025-02-19Series C· $75M
2024-03-04Series B· $40M
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