Machine Learning Hardware Architect Job at Meta (Sunnyvale)

Machine Learning Performance Modeling Architect

Reality Labs focuses on delivering Meta's vision through On-device AI. The compu...

Location

United States , Sunnyvale

Salary:

178000.00 - 250000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
8+ years of experience in IP/SoC/System performance modeling and workload analysis/optimization for low-power/high-performance accelerators
8+ years of experience with programming languages (C/C++ and Python), script automation and data visualization
Experience evaluating architectural tradeoffs in performance, power and image quality
Experience employing scientific methods to debug, diagnose and drive the resolution of complex, cross-disciplinary system issues

Job Responsibility

Lead power/performance modeling and analysis of machine learning software-hardware components and use cases
Capture machine learning workloads from applications and system usages
Support all phases of Silicon SoC development
Contribute to execution of our silicon technology / machine learning roadmap to make beyond state-of-the-art advances in performance, power consumption and form factor
Work across disciplines, build new methodologies, juggle/coordinate multiple initiatives

What we offer

bonus
equity
benefits

Senior Solution Architect AI & HPC

AI is a high-growth market for HPE, and we believe we are uniquely suited to bri...

Location

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Engineering, Computer Science, or similar quantitative focus preferred
Ability to quickly prototype functionality into scripts for demos, integrations, troubleshooting, etc.
Expertise in cloud architectures, specifically with public cloud platforms such as AWS, Azure, or Google Cloud
Strong understanding of AI technologies, including machine learning, deep learning, and neural networks
Experience participating in solution configurations and the creation of PoCs to meet customer requirements
Solid knowledge of infrastructure components, including servers, storage, networking, and virtualization
Experience with high-performance computing (HPC) and GPU-accelerated systems is advantageous
Demonstrates expert technical skills in assigned area of specialization
Expert knowledge of the company offerings, strategic initiatives, current trends, competitor products and strategies within area of responsibility
Expert level written and verbal communication skills and mastery over English and local language

Job Responsibility

Collaborate with sales teams to understand customer requirements and develop tailored solutions for their AI infrastructure needs
Engage in pre-sales activities, including technical presentations, demonstrations, and proof-of-concepts
Act as a trusted advisor to customers, addressing their questions, concerns, and technical challenges effectively
Stay up-to-date with the latest advancements in AI technologies, cloud architectures, and infrastructure trends
Lead Proof-of-Concepts (PoC) for HPE customers expanding into Deep Learning or Machine Learning use cases
Architect reusable end-to-end AI solutions for HPE customers and prospects
Lead technical discussions with customers and partners to propose HPE and partner Integrated solutions
Identify solutions, define action plans, and help coordinate and deliver optimal solutions and enhancements
Recommend configurations and settings for different types of hardware and interconnect fabrics
Assist in any product or technical issue towards an initial sale or renewal of a customer

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits that supports physical, financial and emotional wellbeing

Fulltime

Silicon Power Engineer

Reality Labs focuses on delivering Meta's roadmap through creating advanced AI e...

Location

United States , Sunnyvale

Salary:

146000.00 - 209000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6+ years of experience as an engineer for production silicon
Experience employing scientific methods to debug, diagnose and drive the resolution of cross-disciplinary system issues
Knowledge of Silicon trade-offs in design and back end implementation
Experience with Power Technology - Power Exchange, Power Artist or other power analysis/simulation tools
Experience with Python, TCL, Perl programming

Job Responsibility

Detailed modeling, analysis and optimization of silicon use case power for Machine Learning Hardware accelerator, and create detailed cost/benefit analysis
Collaborate with ML architects and designers to understand the ML workloads and develop recipes to optimize the PPA of ML compute datapath design blocks
Work across disciplines, brainstorm big ideas, work in new technology areas, juggle/coordinate multiple initiatives, drive a concept into a prototype and ultimately guide the transition into a high-volume consumer product
Travel both domestically and internationally

What we offer

bonus
equity
benefits

Fulltime

Software Engineer, Systems ML - Compilers / Backend

We are seeking a software engineer to support the development of the compiler to...

Location

United States , Sunnyvale

Salary:

217000.00 USD / Year ▼

Meta

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2+ years experience developing compilers, toolchains, runtime, or similar code optimization software
Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis
Experience in AI framework development or accelerating models on hardware architectures (GPU, TPU, custom AI ASICs)

Job Responsibility

Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators
Work with algorithm research teams to map ML graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance
Work with hardware architects to co-design hardware features that maximize performance, power efficiency and programmability
Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools
Analyze and improve the efficiency, scalability, and stability of our toolchains. Optimize and tune kernels and compiled code to achieve latency targets for ML inference
Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues
Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa

What we offer

bonus
equity
benefits

Software Engineer, Systems ML - Compilers / Backend

We are seeking a software engineer to support the development of the compiler to...

Location

United States , Sunnyvale

Salary:

181000.00 USD / Year ▼

Meta

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis
Experience in AI framework development or accelerating models on hardware architectures (GPU, TPU, custom AI ASICs)
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Job Responsibility

Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators
Work with algorithm research teams to support the co-design of hardware features mapping ML graphs to hardware implementations, modeling data-flows, creating cost-benefit analysis and estimating silicon power and performance
Work with hardware architects to co-design hardware features that maximize performance, power efficiency and programmability
Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools
Collaborate with the team to enhance the efficiency, scalability, and stability of our toolchains by focusing on kernel optimization and tuning
Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues
Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa

What we offer

bonus
equity
benefits

Research Scientist, Sensors and Systems Research

We are creating world-class consumer wearable experiences - as a member of Meta’...

Location

United States , Redmond

Salary:

122000.00 - 181000.00 USD / Year

Meta

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Currently has, or is in the process of obtaining a PhD degree in Computer Science, Electrical Engineering, Mechanical Engineering, Systems Engineering, Optical Sciences, Physics, Wireless Communications, and/or relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Experience with modeling and analysis
C++ or Python programming experience in scientific computing and algorithm development and deployment
1+ years experience in developing machine learning models at scale from inception to generating business impact
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Job Responsibility

Pioneer fundamental “0 to 1” research in physical sciences (hardware, systems, materials, processes etc)
Drive long-term research roadmaps (5–10+ years), establish feasibility of breakthrough technologies, and create initial enablers
Conceive, design, and prototype advanced concepts for next-generation Hardware products
Develop and optimize hardware, software and/or ML models to predict and enhance performance across multiple HW domains
Collaborate with cross-functional teams to advance the entire product pipeline (hardware, software, integration, infrastructure, and applications)
Architect and integrate complex hardware/software systems
Develop and refine algorithms while resolving discrepancies between model predictions and measured performance data across all technology domains
Prototype and characterize new technologies across a variety of HW platforms
Utilize scientific programming languages for modeling, simulation, algorithm development, and data analysis
Analyze experimental and simulation data to inform design decisions and optimize system performance

What we offer

bonus
equity
benefits

Fulltime

Senior Robotics Software Engineer, Test

As a Senior Robotics Software Engineer, Test at Chef Robotics, you'll develop co...

Location

United States , San Francisco

Salary:

150000.00 - 240000.00 USD / Year

Chef Robotics

Expiration Date

Until further notice

Requirements

Bachelor's degree in Robotics, Computer Science, Computer Vision, Mechanical Engineering, or related technical field
7+ years of professional experience in robotics software development, perception systems, or testing
Expert-level programming skills in Python with advanced software engineering capabilities
Extensive experience with robotics simulation environments (Gazebo, PyBullet, MuJoCo, or similar)
Strong background in computer vision and perception system development and testing
Deep familiarity with robot control systems, motion planning, and real-time robotics software
Proven experience with CI/CD pipeline development and test automation frameworks
Advanced understanding of test automation principles, methodologies, and best practices
Deep understanding of robotics kinematics, dynamics, and control systems with practical testing experience
Extensive experience with computer vision algorithms, image processing, and perception pipeline testing

Job Responsibility

Robotics Test Framework Development
Design and implement automated testing frameworks for robot motion planning and control systems
Develop advanced evaluation frameworks for core robot behaviors over hundreds of scenarios
Develop advanced validation frameworks for real-time control loop performance and stability across diverse operational conditions
Build sophisticated test harnesses for hardware-software integration validation
Architect simulation environments for testing robotic behavior without physical hardware dependencies
Perception System Testing & Validation
Design and implement comprehensive testing frameworks for computer vision algorithms and perception pipelines
Create automated test suites for object detection, segmentation, and classification in food production environments
Develop validation systems for camera calibration and depth estimation accuracy

What we offer

medical, dental, and vision insurance
commuter benefits
flexible paid time off (PTO)
catered lunch
401(k) matching
early-stage equity

Fulltime

Member of Technical Staff, AI Systems Engineer

We are building next-generation customized AI silicon designed to accelerate AI ...

Location

Switzerland , Zürich

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science, Computer Engineering, or a related field
Software engineering experience focusing on systems programming, ML infrastructure, or AI compilers
Expertise in Python: Deep understanding of memory management, concurrent programming
Experience with LLM Inference Engines: Hands-on experience modifying or extending frameworks like SGLang, vLLM, DeepSpeed-FastGen, or TensorRT-LLM
PyTorch Internals: Strong experience writing PyTorch C++ extensions and custom operators
Hardware Interfacing: Proven track record of integrating machine learning workloads with hardware accelerators (GPUs, TPUs, NPUs) using custom SDKs, APIs, or low-level drivers

Job Responsibility

Framework Integration: Architect and develop the backend integration to make our custom AI chip a first-class citizen in SGLang
Custom Operator Development: Write custom C++ / PyTorch extensions that map SGLang’s primitive operations (e.g., RadixAttention, FlashAttention, matrix multiplications) to our custom chip's proprietary software layer
Performance Optimization: Profile and optimize end-to-end LLM inference latency, throughput, and memory utilization (Paged Attention) on our hardware
Cross-Functional Collaboration: Work closely with our hardware architecture and compiler teams to provide feedback on our custom software stack and silicon design based on framework-level bottlenecks
Testing & Deployment: Build robust testing pipelines to validate model accuracy and performance parity against standard GPU baselines

Fulltime

Machine Learning Hardware Architect

Meta

Location:
United States , Sunnyvale

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 23, 2026

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