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153 results (3 new)

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Senior / Staff AI Research Engineer, Real-Time Inference

RoboForce

Milpitas, California • Today

Full-time

USD 185,000.00 - 325,000.00 per year

Staff AI Research Engineer - Digital Health

Samsung Electronics America

Mountain View, California • Today

Full-time

USD 184,600.00 - 253,550.00 per year

Senior Staff AI Security Engineer

ServiceNow, Inc.

Santa Clara, California • Today

Full-time

USD 190,900.00 - 334,100.00 per year

Staff Engineer, Architecture & Performance Research Engineer for Data Center and Agentic AI CPU

Samsung Electronics America

San Jose, California • Today

Full-time

USD 163,000.00 - 253,000.00 per year

Sr. Research Engineer - AI/ML Image Processing & Computational Photography

Sony Corporation of America

San Jose, California • Today

Full-time

USD 150,000.00 - 165,000.00 per year

Principal Research & Engineering, Realtime Voice AI

Inflection AI

Palo Alto, California • Today

Full-time

USD 400,000.00 - 550,000.00 per year

Senior/Staff Engineer, Machine Learning - Online Mapping

Nuro Inc.

Mountain View, California • Today

Full-time

USD 193,930.00 - 291,150.00 per year

Senior Principal AI/ML Engineer, Deep Agentic Reasoning Engineer (Lorenz Labs)

Analog Devices, Inc.

San Jose, California • Today

Full-time

USD 260,360.00 - 357,995.00 per year

Senior Staff Engineer, SoC NPU Architect

Samsung Electronics America

Mountain View, California • Today

Full-time

USD 203,700.00 - 305,500.00 per year

Principal Machine Learning Engineer

PaloAlto Networks

Santa Clara, California • Today

Full-time

USD 163,200.00 - 264,000.00 per year

Principal AI/ML Engineer, Deep Agentic Reasoning Engineer (Lorenz Labs)

Analog Devices, Inc.

San Jose, California • Today

Full-time

USD 230,000.00 - 316,250.00 per year

Principal Engineer, Architecture & Performance Research for Data Center and Agentic AI CPU

Samsung Electronics America

San Jose, California • Today

Full-time

USD 219,000.00 - 351,000.00 per year

Principal Engineer, SoC NPU Architect

Samsung Electronics America

Mountain View, California • Today

Full-time

USD 242,500.00 - 376,650.00 per year

(USA) Principal, Machine Learning Engineer

Walmart Inc.

Sunnyvale, California • Today

Full-time

USD 169,000.00 - 338,000.00 per year

Senior Inference Engineer

Uniphore

Palo Alto, California • Today

Full-time

USD 159,000.00 - 198,800.00 per year

Staff/ Principal Software Engineer (L6/L7): AI Platform Model Serving

Netflix, Inc.

Remote • Today

Full-time

Compensation information provided in the description

Principal Engineer, Big Data Platform

Pinterest, Inc.

Remote or San Francisco, California • Today

Full-time

USD 242,634.00 - 499,541.00 per year

Principal Software Engineer - Commercial Content

Roblox

San Mateo, California • Today

Full-time

USD 295,250.00 - 345,040.00 per year

Senior AI Researcher, End-to-End Autonomous Systems

Nissan Motor Co., Ltd.

Santa Clara, California • Today

Full-time

USD 122,001.00 - 256,894.00 per year

Senior Software Engineer, Content Understanding

Roblox

San Mateo, California • Today

Full-time

USD 196,750.00 - 278,530.00 per year

Principal Data Scientist - Consumer

Gopuff

Remote • Today

Full-time

USD 180,000.00 - 240,000.00 per year

Senior/Principal RAN Digital Twin & AI Simulation Engineer

Parallel Wireless

Remote • Today

Full-time

Member of Technical Staff, Agentic AI Architect

Micron Technology, Inc.

Remote or Idaho • Today

Full-time

Member of Technical Staff, Agentic AI Architect

Micron Technology, Inc.

Remote or Boise, Idaho • 16d ago

Full-time

Principal Full-Stack Data Scientist - Foundational Models

Stitch Fix

Remote • Today

Full-time

USD 200,000.00 - 237,000.00 per year

Principal Data Scientist - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Senior Machine Learning Engineer

Apple, Inc.

Cupertino, California • Today

Full-time

Sr Software Engineer (Java) - Ops and Sales Engineering

Apple, Inc.

Cupertino, California • Today

Full-time

Staff AI Engineer

Cardinal Health

Remote • Today

Full-time

USD 96,300.00 - 151,360.00 per year

Senior Director AI, Chief Revenue Organization

Equinix

Redwood City, California • Today

Full-time

USD 269,000.00 - 403,000.00 per year

Job Details

Skills

FOCUS
Scalability
Layout
Data Compression
Debugging
Stacks Blockchain
Research
Real-time
Benchmarking
Computer Science
Electrical Engineering
CUDA
C++
Python
Embedded Systems
Computer Hardware
ARM
GPU
Collaboration
Artificial Intelligence
Optimization
Robotics
Sensors
Fusion
Deep Learning
Machine Learning (ML)
Insurance
Team Building
Training

Summary

Why RoboForce

RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.

We are looking for a Senior / Staff AI Research Engineer, Real-Time Inference to make embodied AI practical on the edge. In this role, you will drive the full stack of model optimization - from CUDA kernel engineering to quantization and compression - to deploy high-performance AI models on edge compute platforms powering RoboForce robots in the field.

Responsibilities

Develop and optimize inference pipelines for embodied AI models (VLA, perception, world models) targeting real-time execution on edge hardware such as NVIDIA Jetson platforms.
Implement CUDA-level optimizations including custom kernels, memory layout tuning, and hardware-aware graph compilation to minimize model latency.
Apply and advance model compression techniques - quantization (INT8/FP16/INT4), pruning, distillation, and structured sparsity - to achieve production-grade throughput on constrained devices.
Profile and debug end-to-end inference stacks using tools such as NSight, TensorRT, and Triton to identify and eliminate performance bottlenecks.
Collaborate with ML research and robotics teams to co-design model architectures that meet real-time control-loop latency requirements.
Establish benchmarking frameworks to evaluate model performance across latency, throughput, power consumption, and accuracy tradeoffs on target hardware.

Requirements

Master's degree in Computer Science, Electrical Engineering, or related field with 4+ years of experience, or a PhD degree.
Deep expertise in CUDA programming, GPU architecture, and low-level kernel optimization, including custom kernel authoring with tools such as Triton.
Hands-on experience with model quantization, pruning, distillation, and deployment using frameworks such as TensorRT, ONNX Runtime, TVM, or Triton.
Proficiency in C++ and Python; strong systems programming and performance profiling skills.
Experience deploying ML models on edge or embedded hardware (e.g., NVIDIA Jetson, Orin, or equivalent ARM/GPU SoCs).
Requires 5 days/week in-office collaboration with the teams.

Bonus Qualifications

Familiarity with embodied AI models - VLA, multimodal transformers, or diffusion-based policies - and their inference characteristics.
Familiarity with compiler-based optimization pipelines such as XLA, torch.compile, or MLIR for graph-level model acceleration.
Understanding of robotics system constraints such as control-loop timing, sensor fusion latency, and memory bandwidth limits on edge SoCs.
Publication or production work in efficient deep learning or on-device ML systems.

Benefits

Competitive stock options/equity programs.
Health, dental, and vision insurance, 401(k) plan.
Visa sponsorship and support for qualified candidates.
Lunches and dinners, a fully stocked kitchen, and regular team-building events.

Compensation: Salary $185,000-$325,000 USD + Bonus + Equity

The base salary range above represents the expected compensation for this full-time U.S. position. Final compensation will be determined based on role scope, level, location, job-related skills, experience, and relevant education or training, and may fall outside the listed range in exceptional cases.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183818
Position Id: a40f5f338f148a8bb230c0a8ed4cd177
Posted 2 hours ago

Fitment

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Once logged in, be sure to complete your profile to get the most accurate match score.

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Santa Clara, California

•

Today

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. The Mission: We are building the next generation of end-to

Full-time

USD 244,140.00 per year

Senior GPU Kernel Development Engineer

San Jose, California

•

Today

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world's most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you're designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Joi

Full-time

USD 170,100.00 per year

Staff Inference Engineer

Palo Alto, California

•

Today

Uniphore is the Business AI company. Our sovereign, composable and secure AI platform connects enterprise data, fine-tunes AI models and deploys agentic AI across the enterprise. We empower every worker to boost productivity and help businesses grow faster, operate smarter and reduce costs. Trusted by more than 2,000 businesses globally, and recognized on the Deloitte Fast 500, Uniphore delivers on the promise of AI as a transformative force for business. Job Description: Staff Inference Engine

Full-time

USD 175,000.00 - 218,700.00 per year

Senior Inference Engineer

Palo Alto, California

•

Today

Full-time

USD 159,000.00 - 198,800.00 per year

Job Details

Skills

FOCUS
Scalability
Layout
Data Compression
Debugging
Stacks Blockchain
Research
Real-time
Benchmarking
Computer Science
Electrical Engineering
CUDA
C++
Python
Embedded Systems
Computer Hardware
ARM
GPU
Collaboration
Artificial Intelligence
Optimization
Robotics
Sensors
Fusion
Deep Learning
Machine Learning (ML)
Insurance
Team Building
Training

Summary

Develop and optimize inference pipelines for embodied AI models (VLA, perception, world models) targeting real-time execution on edge hardware such as NVIDIA Jetson platforms.
Implement CUDA-level optimizations including custom kernels, memory layout tuning, and hardware-aware graph compilation to minimize model latency.
Apply and advance model compression techniques - quantization (INT8/FP16/INT4), pruning, distillation, and structured sparsity - to achieve production-grade throughput on constrained devices.
Profile and debug end-to-end inference stacks using tools such as NSight, TensorRT, and Triton to identify and eliminate performance bottlenecks.
Collaborate with ML research and robotics teams to co-design model architectures that meet real-time control-loop latency requirements.
Establish benchmarking frameworks to evaluate model performance across latency, throughput, power consumption, and accuracy tradeoffs on target hardware.

Requirements

Master's degree in Computer Science, Electrical Engineering, or related field with 4+ years of experience, or a PhD degree.
Deep expertise in CUDA programming, GPU architecture, and low-level kernel optimization, including custom kernel authoring with tools such as Triton.
Hands-on experience with model quantization, pruning, distillation, and deployment using frameworks such as TensorRT, ONNX Runtime, TVM, or Triton.
Proficiency in C++ and Python; strong systems programming and performance profiling skills.
Experience deploying ML models on edge or embedded hardware (e.g., NVIDIA Jetson, Orin, or equivalent ARM/GPU SoCs).
Requires 5 days/week in-office collaboration with the teams.

Bonus Qualifications

Familiarity with embodied AI models - VLA, multimodal transformers, or diffusion-based policies - and their inference characteristics.
Familiarity with compiler-based optimization pipelines such as XLA, torch.compile, or MLIR for graph-level model acceleration.
Understanding of robotics system constraints such as control-loop timing, sensor fusion latency, and memory bandwidth limits on edge SoCs.
Publication or production work in efficient deep learning or on-device ML systems.

Benefits

Competitive stock options/equity programs.
Health, dental, and vision insurance, 401(k) plan.
Visa sponsorship and support for qualified candidates.
Lunches and dinners, a fully stocked kitchen, and regular team-building events.

Dice Id: 80183818
Position Id: a40f5f338f148a8bb230c0a8ed4cd177
Posted 2 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Santa Clara, California

•

Today

Full-time

USD 244,140.00 per year

Senior GPU Kernel Development Engineer

San Jose, California

•

Today

Full-time

USD 170,100.00 per year

Staff Inference Engineer

Palo Alto, California

•

Today

Full-time

USD 175,000.00 - 218,700.00 per year

Senior Inference Engineer

Palo Alto, California

•

Today

Full-time

USD 159,000.00 - 198,800.00 per year

Senior / Staff AI Research Engineer, Real-Time Inference

Skills

Summary

Dice Job Match Score™

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Senior / Staff AI Research Engineer, Real-Time Inference

Job Details

Skills

Summary

Dice Job Match Score™

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