Reality Labs (RL) is bringing Meta's vision to life through virtual reality (VR), augmented reality (AR), and wearable technology. Meeting the demanding compute and power efficiency needs of these products requires purpo…
Skills: Machine Learning, Hardware Acceleration, Computer Vision, System Architecture, Model Compression
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Senior Staff Software Engineer, GPU System Software
Sunnyvale, California, United States · On-site
$262k–$364k/yr
Senior+$26M raised
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Software Engineer III, Performance, Google Cloud Platforms
Sunnyvale, California, United States · On-site
$147k–$210k/yr
Mid level$26M raised
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Skills: C++, Python, Performance Analysis, Large Scale Systems, Data Analysis
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Senior Conversation Designer, Devices & Services Design Group
San Francisco, California, United States · On-site
$138k–$212k/yr
Senior$67M raised
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Position Summary... What you'll do...Role summary: Join Walmart as a Staff Software Engineer to lead the design, development, and delivery of scalable platform capabilities, including infrastructure, tooling, and AI/ML f…
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$154k–$217k/yr
Full-time
postgraduate degree
Bonus, Equity, Benefits
Posted 37d ago
~40 hrs/week
Responsibilities
Develop novel solutions for compute and power-efficient training and on-device inference of vision and language models for AR/VR applications. Collaborate across hardware and software teams to invent ML accelerators and optimize system architecture for real-time performance.
Requirements
Requires a Master's or PhD in Electrical Engineering, Computer Science, or equivalent experience with at least 2 years of specialized experience in ML/DL domains. Proficiency in C/C++ or Python and experience with AI system infrastructure or hardware acceleration is essential.
Full job description
Reality Labs (RL) is bringing Meta's vision to life through virtual reality (VR), augmented reality (AR), and wearable technology. Meeting the demanding compute and power efficiency needs of these products requires purpose-built silicon. The Reality Labs Silicon team is pushing boundaries with pioneering advances in computer vision, machine learning, mixed reality, graphics, displays, sensors, and novel approaches to human body mapping. Our custom chips will power AR and VR experiences that seamlessly blend the physical and digital worlds throughout everyday life. We're convinced that realizing this vision demands a full-stack approach: spanning transistors, architecture, firmware, and algorithms.
Meta is seeking a HW Research Scientist to join our Research and Development teams. The candidate will have experience working on AI models, hardware acceleration, and software systems related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist in Meta Reality Labs. The primary objective will be to develop novel solutions that enable compute and power-efficient training and on-device inference of vision and language models for use cases in AR, VR, and edge devices. We are hiring in multiple locations.
Responsibilities
Identify and solve multi-discipline ML acceleration problems involving algorithms, network design, hardware architecture, and AR/VR use cases. Many of these would be first-time solutions in the industry
Work across hardware and software, to solve deep co-design problems with other Research scientists working in this area
Codesign and invent novel ML accelerator and system architecture solutions, and facilitate the integration of algorithms and software to utilize these enhancements
Develop state-of-the-art model compression and scalability techniques using numerics, pruning, distillation, etc
Optimize models on hardware accelerators to achieve the best performance given various real-time latency and power constraints
Deliver impact directly or by influencing partners through thorough, data-driven analysis
Define use cases, and develop a methodology and benchmarks to evaluate different approaches
Apply in-depth knowledge of how the ML acceleration interacts with the other systems around it
Attend conferences, interpret papers, and stay up to date with the latest research advancements in the field of ML acceleration; patent and/or publish novel outcomes in peer-reviewed conferences and journals
Minimum Qualifications
Masters or PhD in Electrical Engineering, Computer Science or equivalent experience
2+ years of specialized experience in one or more of the following machine learning/deep learning domains: Model compression, hardware-aware model optimizations, hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high-performance computing, performance optimizations, or machine learning frameworks (e.g., PyTorch), numerics and SW/HW co-design
Experience developing AI system infrastructure, AI algorithms, or AI hardware acceleration in C/C++ or Python
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
Experience or knowledge of training/inference of large-scale AI models - CV and/or LLMs
Experience or knowledge of architecting ML hardware accelerators and systems
Experience working and communicating cross-functionally in a team environment
Experience with PyTorch, TensorFlow, or similar machine learning toolsets
Experience or knowledge of on-device algorithm development including hardware-aware ML models and/or optimizing ML compilers for efficient deployment on AI accelerators
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals, or conferences such as ICLR, NeurIPS, CVPR, ACL, ICML, MLSys, ISCA, MICRO, DAC, ASPLOS, etc
Demonstrated research and engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g., GitHub)
Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward
$154,000/year to $217,000/year + bonus + equity + benefits
Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive and intelligent experiences like virtual reality, wearables and AI to help build the next evolution in social technology.
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Based on 1493 listings with disclosed salaries, most software jobs in Sunnyvale, CA pay between $140k–$286k per year. Individual offers vary with seniority, company size, and specialization.
How many Software jobs are open in Sunnyvale, CA right now?
There are currently 1,773 open software positions in Sunnyvale, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Software roles in Sunnyvale, CA?
Companies currently hiring include Google, Walmart, Apple, Wayve, Applied Intuition, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Software jobs in Sunnyvale, CA?
Yes — 569 of the 1773 open software positions offer remote or hybrid work (42 remote, 527 hybrid).
How do I apply for Software jobs in Sunnyvale, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.