Model Optimization

KLA-Tencor

Full-time · Milpitas, CA · $136,300 – $231,700

KLA seeks a deep learning engineer to advance computer vision and image processing for semiconductor manufacturing inspection systems. This role involves developing and optimizing state-of-the-art models across the full lifecycle, from conception through deployment, for a leader in process control technology.

Listed on KLA-Tencor’s careers site · Apply there ↗

Bend Studio

Aliso Viejo, CA · $177,300 – $265,900

This role pairs artificial intelligence with Sony's cloud gaming platform, focusing on building inference-backed systems that make streamed play faster and more personal. It suits senior engineers who have shipped production AI features and enjoy working at the intersection of machine learning and real-time performance constraints.

Listed on Bend Studio’s careers site · Apply there ↗

Unity

Full-time · $218,400 – $283,900

This role involves optimizing state-of-the-art AI models to run efficiently on mobile and desktop devices within a browser-native runtime, handling everything from model export through kernel-level tuning to shipped features. It's ideal for a performance-focused engineer who thrives on closing the gap between research models and production on-device products, working with transformers, diffusion networks, and vision-language models across constrained hardware.

Listed on Unity’s careers site · Apply there ↗

NIO

Full-time · San Jose, CA · $192,100 – $249,600

NIO is hiring a senior engineer to build production inference systems for large language and vision models across cloud and edge devices in their autonomous vehicle platform. This role suits someone with deep experience optimizing AI workloads on accelerators who wants to ship real-world impact at scale.

Listed on NIO’s careers site · Apply there ↗

Deepgram

USA - Remote · $219,300 – $274,100

This role involves optimizing Deepgram's voice AI models to run efficiently on embedded hardware and non-NVIDIA accelerators through custom kernel development, quantization, and low-level tuning. It suits experienced embedded systems engineers who thrive solving hard optimization problems under tight resource constraints and want to make large models viable on small devices.

Listed on Deepgram’s careers site · Apply there ↗

Topaz Labs

Full-time · Dallas, TX · $110,000 – $150,000

You'll optimize AI model inference performance across Topaz Labs' image and video enhancement platform, serving as the bridge between research and production while working with hardware partners. This role suits engineers who want to apply systems and optimization expertise to a rapidly growing AI company with millions of users.

Listed on Topaz Labs’s careers site · Apply there ↗

Cohere

Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote

Cohere is seeking a Staff Research Engineer to develop and deploy techniques that improve the speed and efficiency of large language model inference in production. This role is ideal for someone with advanced ML expertise and a track record of publishing optimization research who wants to tackle the practical challenge of making AI systems run faster and more efficiently at scale.

Listed on Cohere’s careers site · Apply there ↗