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HomeCompaniesBasetenSoftware Engineer - Model Products

Software Engineer - Model Products

Baseten · San Francisco · Hybrid · Active · Ashby

Job facts

FieldValue
CompanyBaseten
TitleSoftware Engineer - Model Products
Normalized title-
Department / teamEPD / EPD, Engineering, Model Performance, Model Products
LocationSan Francisco, CA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Baseten.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in EPD.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyBaseten
Source6c096664-af23-4971-ac86-879240d2a6a0
ATS providerAshby

Description

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE: Baseten’s Model Performance (MP) team is responsible for ensuring the models running on our platform are fast, reliable, and cost‑efficient. As part of this team, you’ll focus on Model API's — the infrastructure powering our hosted API endpoints for the latest open‑source models. This work spans distributed systems, model serving, and developer experience. You’ll join a small, high‑impact team operating at the intersection of product, model performance, and infra, helping to define how developers interact with AI models at scale. 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. REQUIREMENTS: 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. NICE TO HAVE: 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 Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) Paid parental leave Fertility and family-building stipend through Carrot Company-facilitated 401(k) Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Full job record

Job ID9e6be3bdbbb7c3c6e44ac69e53719397840ed96c
Org IDad6d209a-bdd9-4065-8005-ab3380ce25dc
Source ID6c096664-af23-4971-ac86-879240d2a6a0
Board ID6c096664-af23-4971-ac86-879240d2a6a0
Providerashby
Provider Job Key2fdb06a3-ea27-40ee-bf64-0d51e01b8464
TitleSoftware Engineer - Model Products
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco
DepartmentEPD
TeamEPD, Engineering, Model Performance, Model Products
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/baseten/2fdb06a3-ea27-40ee-bf64-0d51e01b8464
Apply URLhttps://jobs.ashbyhq.com/baseten/2fdb06a3-ea27-40ee-bf64-0d51e01b8464/application
First Seen At2026-05-29 06:01:02Z
Last Seen At2026-06-06 20:41:42Z
Last Checked At2026-06-06 20:41:42Z
Last Changed At2026-05-29 06:01:02Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=baseten/date=2026-06-06/2026-06-06T20-41-35-744Z-d91ce5953121bef76b7e3dcd1c2a8b71d686daa8a150e1da718529f904ac8b1d.json
Event Fields
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  "last_changed_at": "2026-05-29T06:01:02.651Z",
  "active_status": "active"
}
Parsed Structured
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}
Extensions
{}
Native Structured
{
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  "team": "EPD, Engineering, Model Performance, Model Products",
  "title": "Software Engineer - Model Products",
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  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/baseten/2fdb06a3-ea27-40ee-bf64-0d51e01b8464/application",
  "isListed": true,
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  "location": "San Francisco",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "EPD",
  "publishedAt": null,
  "workplaceType": "Hybrid",
  "employmentType": "FullTime",
  "secondaryLocations": [
    {
      "location": "New York"
    }
  ]
}
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