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Triton Jobs

53 open positions · Updated 2 days ago

Average salary (USD/year): 178.2k–293.5k/yr
53 roles Senior 18, Mid 14, Staff 9, Intern 3, Junior 3, Lead 3, Principal 2, Director 1 2–12 yrs experience Sunnyvale, CA / Bellevue, WA +30 more Full-time, Internship newest 2 days ago

53 Triton roles across 25 companies, most in AI/ML; 4% fully remote; typical advertised salary $171.8k

Work arrangement: 2 fully remote · 16 hybrid · 11 on-site · 24 not stated

Advertised salaries: p25 $157.0k · median $171.8k · p75 $205.3k (from 18 disclosed annual salaries, USD)

Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.

Showing 20 of 53 positions

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Gimlet Labs

Characterize and improve GPU performance for AI inference at Gimlet Labs, working with a heterogeneous accelerator fleet.

Gimlet Labs San Francisco, CA Published 2 days ago
Flexible on stack
Graphcore

Join Graphcore as a Software Engineer to enhance AI frameworks and optimize performance for machine learning workloads.

Graphcore Bristol, UK Published 5 days ago
Flexible on stack
Reddit

Own performance optimization initiatives for production ML workloads in a fully remote role at Reddit.

Reddit Remote - United States $216.7k–$303.4k/yr Published 1 week ago
Flexible on stack
Graphcore

Join Graphcore as a Graduate Software Engineer to work on AI/ML Test Systems with hands-on learning and development opportunities.

Graphcore Bristol, UK Published 1 week ago
Flexible on stack
Graphcore

Join Graphcore as a Graduate Software Engineer to develop software connecting machine learning frameworks with cutting-edge hardware.

Graphcore Bristol, UK Published 1 week ago
Flexible on stack
Inferact

Lead a senior engineering team at Inferact to scale AI inference systems while maintaining technical quality and execution speed.

Inferact San Francisco $200k–$400k/yr Published 2 weeks ago
Flexible on stack Heavy meetings
Hedra

Join Hedra as an Inference Optimization Engineer to enhance visual models' efficiency and performance in a collaborative research environment.

Hedra San Francisco Published 2 weeks ago
Flexible on stack
Sarvam AI

Own the infrastructure for training foundational models at Sarvam AI, focusing on distributed training and optimization.

Sarvam AI Bengaluru Published 3 weeks ago
Flexible on stack
Gimlet Labs

Build and optimize low-level execution primitives for AI inference across various hardware architectures at Gimlet Labs.

Gimlet Labs San Francisco, CA Published 7 months ago
Flexible on stack
Mirage

Join Mirage as a Research Engineer to build and scale systems for video generation models in a collaborative AI-driven environment.

Mirage Union Square, New York City Published 1 month ago
Flexible on stack
Tavus

Join Tavus as a Research Engineer to optimize cutting-edge multimodal AI models for production readiness.

Tavus Remote Published 1 month ago
Flexible on stack
Together AI

Join Together AI as a Systems Research Engineer Intern to optimize GPU-accelerated algorithms for ML/AI applications.

Together AI San Francisco $58–$70/hr Published 1 month ago
Flexible on stack
Together AI

Join Together AI as a Systems Research Engineer Intern to optimize GPU programming for ML/AI applications in a collaborative environment.

Together AI San Francisco $58–$70/hr Published 1 month ago
Flexible on stack
Inferact

Join Inferact as a co-op student to work on cutting-edge AI inference systems in a hands-on engineering role.

Inferact San Francisco Published 1 month ago
Flexible on stack
Genmo

Join Genmo as a GPU Performance Engineer to optimize video generation models and achieve significant performance improvements.

Genmo San Francisco HQ Published 1 year ago
Flexible on stack
Fundamental

Join Fundamental as a Senior Applied Research Engineer to tackle technical challenges in AI model development for enterprise decision-making.

Fundamental Barcelona Published 7 months ago
Flexible on stack
Fundamental

Join Fundamental as an MLOps Engineer to tackle technical challenges in AI and transform enterprise decision-making.

Fundamental Europe Published 3 months ago
Flexible on stack
Fundamental

Lead a team of MLOps engineers at an AI company transforming enterprise decision-making.

Fundamental Europe Published 3 months ago
Flexible on stack
Cartesia

Join Cartesia as an Inference Engineer to design and build low latency, scalable model inference for cutting-edge AI applications.

Cartesia *HQ - San Francisco, CA Published 1 year ago
Flexible on stack
Handshake

Join Handshake as a Senior Software Engineer to build scalable ML infrastructure for a fast-growing AI data business.

Handshake San Francisco, CA Published 3 months ago
Flexible on stack
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