Performance engineer Jobs in Sunnyvale, CA
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Performance engineer • sunnyvale ca
Last updated: 16 hours ago
Join Our Inference Performance Team : Optimizing Foundation Models On-Device.We’re building the future of on-device AI by making foundation models smarter, faster, and more efficient.Pinpoint perfor...Show moreLast updated: 23 days ago
WE ARE BUILDING THE WORLDS FIRST CRYPTOGRAPHIC COMPUTER.Fabric believes hardware determines the boundaries of humanitys collective creativity and imagination.
We are building hardware for the next g...Show moreLast updated: 28 days ago
We are working on software to improve the Deep Learning ecosystem and help hardware engineers build great Deep Learning parallel systems.
We are looking for a strong candidate with a background in w...Show moreLast updated: 21 days ago
Waymo is an autonomous driving technology company with the mission to be the most trusted driver.Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Wa...Show moreLast updated: 23 days ago
Server platform team is responsible for architecting, designing, and building the best server and storage system to meet the requirements of high-performance, low cost and easy to operate.By joinin...Show moreLast updated: 30+ days ago
Are you interested in working with the World's leading AI-powered Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a differe...Show moreLast updated: 25 days ago
Nuro exists to better everyday life through robotics.Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications.The Nuro Driver™ i...Show moreLast updated: 30+ days ago
If you are a first time user, please create your candidate login account before you apply for a job.If you already have a Candidate Account, please Sign-In before you apply.Broadcom's VMware Cloud ...Show moreLast updated: 21 days ago
Etched was founded on the belief that new hardware will be needed to run human- and superhuman-level artificial intelligence.
Our ASIC systems deliver orders of magnitude higher performance than con...Show moreLast updated: 30+ days ago
WHAT YOU DO AT AMD CHANGES EVERYTHING.We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world.
Our mission is to build great products that ...Show moreLast updated: 20 days ago
Engineering Group, Engineering Group > .As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation t...Show moreLast updated: 21 days ago
Etched is building AI chips that are hard-coded for individual model architectures.Our first product (Sohu) only supports transformers, but has an order of magnitude more throughput and lower laten...Show moreLast updated: 16 hours ago
At Intuitive, we are united behind our mission : we believe that minimally invasive care is life-enhancing care.Through ingenuity and intelligent technology, we expand the potential of physicians to...Show moreLast updated: 3 days ago
We are looking for engineers with significant problem solving experience in PyTorch, CUDA and distributed systems.You will work with Research Scientists to build & train cutting edge foundation mod...Show moreLast updated: 7 days ago
Samsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy – the endless pursuit of excellence will create a better world for all.
At Samsung Austin Research and...Show moreLast updated: 30+ days ago
Responsibilities for this exciting role will include : .Design, implementation & support of high-performance compute clusters.
Solid knowledge on HPC systems, including CPU / GPU architecture, scalable / ...Show moreLast updated: 30+ days ago
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs.Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programm...Show moreLast updated: 13 days ago
- Promoted
Inference Performance Engineer
Acceler8 TalentSanta Clara, CA, United StatesFull-time
- Promoted
PRINCIPAL PERFORMANCE ENGINEER, SYSTEMS
Inflection.xyzSanta Clara, CA, United StatesFull-time
- Promoted
GPGPU Performance tooling engineer
RivosSanta Clara, CA, USFull-time
- Promoted
SOFTWARE ENGINEER, RO PERFORMANCE
WaymoMountain View, CA, United StatesFull-time
Server System Performance Engineer
TikTokSan Jose, CA, United StatesFull-time
#18425 - Senior Performance Engineer
QualiTest GroupSanta Clara, CA, United StatesFull-time
Software Engineer, Performance
NuroMountain View, CA, United StatesFull-time
Senior Performance Engineer
BroadcomPalo Alto, CA, United StatesFull-time
- Promoted
Performance Modeling Engineer
EtchedCupertino, CA, USFull-time
Performance Modeling Engineer
Advanced Micro Devices, IncSanta Clara, CA, United StatesFull-time
CPU Performance Engineer - Sr Engineer
QualcommSanta Clara, CA, United StatesFull-time
- Promoted
- New!
SOFTWARE ENGINEER, ML PERFORMANCE
OpenReqCupertino, CA, United StatesFull-time
Sr Product Performance Engineer
Intuitive Surgical, IncSunnyvale, CA, United StatesFull-time
- Promoted
RESEARCH ENGINEER - PERFORMANCE OPTIMIZATION
The Rundown AI, Inc.Palo Alto, CA, United StatesFull-time
GPU Performance Engineer
SAMSUNG3655 N 1st St, San Jose, CA, USAFull-time
HPC Performance Engineer
1000 KLA CorporationMilpitas, CAFull-time
Performance Engineer
Cerebras SystemsSan Jose, CA, United StatesFull-time
The average salary range is between $ 124,500 and $ 205,110 year , with the average salary hovering around $ 148,100 year .
- dentist (from $ 183,150 to $ 250,000 year)
- general dentist (from $ 230,000 to $ 250,000 year)
- technical director (from $ 102,500 to $ 243,250 year)
- digital artist (from $ 190,783 to $ 243,100 year)
- medical director (from $ 172,500 to $ 242,000 year)
- computer engineer (from $ 148,200 to $ 241,000 year)
- database engineer (from $ 100,425 to $ 240,000 year)
- engineering director (from $ 187,500 to $ 240,000 year)
- product director (from $ 180,000 to $ 238,642 year)
- embedded systems engineer (from $ 163,500 to $ 234,000 year)
- Anaheim, CA (from $ 77,756 to $ 240,760 year)
- Durham, NC (from $ 107,250 to $ 233,490 year)
- Santa Clara, CA (from $ 140,000 to $ 214,000 year)
- San Mateo, CA (from $ 125,863 to $ 212,250 year)
- San Jose, CA (from $ 125,358 to $ 211,691 year)
- Baltimore, MD (from $ 145,000 to $ 210,100 year)
- Palm Bay, FL (from $ 149,550 to $ 208,490 year)
- Des Moines, IA (from $ 102,600 to $ 208,000 year)
- San Francisco, CA (from $ 121,800 to $ 205,272 year)
- Sunnyvale, CA (from $ 124,500 to $ 205,110 year)
The average salary range is between $ 106,478 and $ 185,900 year , with the average salary hovering around $ 130,004 year .
Inference Performance Engineer
Acceler8 TalentSanta Clara, CA, United States23 days ago
Job type
- Full-time
Job description3+ years of industry experience working on technically challenging problems. Proficiency in Python or C / C++. Experience with CUDA, OpenCL, or Metal. A strong understanding of hardware acceleration (GPUs, NPUs, TPUs, CPUs). Familiarity with modern ML frameworks like TensorFlow, PyTorch, Core ML, or ONNX. Expertise in GPU kernel programming. Contributions to major ML frameworks or open-source projects.
Join Our Inference Performance Team : Optimizing Foundation Models On-Device
We’re building the future of on-device AI by making foundation models smarter, faster, and more efficient. As part of the Inference Performance Team , you’ll work on challenging, high-impact projects to push the limits of what’s possible with foundation model inference.
What You’ll Do
- Pinpoint performance bottlenecks and navigate quality-performance trade-offs in reference implementations (e.g., openai / whisper) and our optimized frameworks.
- Design, prototype, and test performance improvements tailored to meet enterprise customer needs.
- Drive innovation in our open-source inference frameworks by pitching and delivering new ideas.
- Help expand support to new platforms—currently focused on Apple but actively growing into Android, Linux, and soon Windows.
- Collaborate with ML Research Engineers to turn theoretical advances into practical, real-world optimizations.
Core Qualifications :
Why This Role?
You’ll play a critical role in advancing the performance of foundation models across platforms like Apple, Android, and Linux—shaping the future of efficient, scalable on-device AI.