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Npu Jobs (NOW HIRING)

Hark

Lead Audio ML Engineer

San Jose, CA · On-site

$120K/yr

Profile and optimize models on target platforms (DSP, NPU, CPU) and define accuracy and resource budgets per product Requirements * 3+ years of professional experience building and shipping audio or ...

Waymo

ML Microarchitect

Mountain View, NY · Hybrid

Experience designing datapath elements of high performance cores (CPU/GPU/NPU) * Experience working with Chisel (Scala) or other higher-level hardware DSLs * Working knowledge of machine learning ...

NIO

Staff Simulation Software Engineer

San Jose, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Using state-of-the-art CPU, GPU, and NPU simulation / emulation / virtualization technologies, our team enables hyper-realistic, high-throughput, and scalable simulation environments that ...

Hark

Lead Audio ML Engineer

San Jose, CA

$120K/yr

Profile and optimize models on target platforms (DSP, NPU, CPU) and define accuracy and resource budgets per product Requirements * 3+ years of professional experience building and shipping audio or ...

Forum Ventures LLC

AI Founder, Edge Hardware

Boston, NY · On-site +1

$250K/yr

Every NPU vendor built proprietary toolchains, and none of them interoperate. A team shipping to Qualcomm, Apple, Intel, and MediaTek is not writing one codebase. They are maintaining several, each ...

Waymo

ML ASIC Design Engineer

Mountain View, NY · Hybrid

Experience designing datapath elements of high performance cores (CPU/GPU/NPU) * Experience working with Chisel (Scala) or other higher-level hardware DSL's * Working knowledge of machine learning ...

Ozarks Healthcare

RN - NPU

West Plains, MO · On-site

Nursing Leadership Assesses and plans for direct patient care and provides leadership within the nursing team. Responsible and accountable for the care given to the patient and for the decisions ...

Ozarks Health Care

RN - NPU

West Plains, MO

Assesses and plans for direct patient care and provides leadership within the nursing team. Responsible and accountable for the care given to the patient and for the decisions regarding nursing tasks ...

NIO

Staff Simulation Software Engineer

San Jose, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Using state-of-the-art CPU, GPU, and NPU simulation / emulation / virtualization technologies, our team enables hyper-realistic, high-throughput, and scalable simulation environments that ...

Qualcomm

Sr. Director Product Management

San Diego, CA · On-site

$247K - $259K/yr

Orchestration: task decomposition, routing, execution, and aggregation across compute tiers, including NPU-first runtime strategies. * Protocols & Standards: authoring, evolving, and driving adoption ...

FuriosaAI, Inc.

Solution Architect - US

San Francisco, CA · On-site

$110 - $150/hr

Own end-to-end technical enablement for US customers deploying AI models on FuriosaAI's RNGD NPU using the Furiosa SDK * Develop POCs, benchmarking studies, and live debugging sessions directly in ...

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Npu information

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How much do npu jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for npu in the United States is $27.68, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $29.33 per hour, depending on experience, location, and employer.

What is an NPU?

NPUs, or Neural Processing Units, are specialized hardware accelerators designed to efficiently handle artificial intelligence and machine learning tasks, particularly those involving neural networks. They are optimized for parallel processing and high-speed computation, making them much faster than traditional CPUs or GPUs for specific AI workloads. NPUs are commonly used in smartphones, data centers, and edge devices to process tasks like image recognition and natural language processing. Leveraging NPUs can significantly improve the performance and energy efficiency of AI applications.

What are the key skills and qualifications needed to thrive as an NPU engineer, and why are they important?

To thrive as an NPU Engineer, you need a strong background in computer engineering, digital signal processing, and deep learning algorithms, typically supported by a relevant degree in electrical engineering, computer science, or a related field. Familiarity with hardware description languages (such as Verilog or VHDL), AI frameworks (like TensorFlow or PyTorch), and experience with embedded systems or ASIC/FPGA design are essential. Problem-solving abilities, teamwork, and adaptability are critical soft skills for efficiently developing and optimizing NPU architectures. These skills ensure the design and deployment of high-performance, energy-efficient neural processing solutions for AI-driven applications.

How does an NPU engineer typically collaborate with software development teams during product development?

NPU engineers often work closely with software development teams to ensure that neural network models are optimized for deployment on specialized hardware. This collaboration includes profiling and quantizing models, identifying performance bottlenecks, and adjusting algorithms to maximize hardware efficiency. Regular communication is key, as engineers may need to translate high-level software requirements into hardware-accelerated solutions and provide feedback on model compatibility. Such teamwork ensures the final product delivers both speed and accuracy, bridging the gap between hardware capabilities and software demands.

What is the difference between Npu vs Network Planning Engineer?

AspectNpuNetwork Planning Engineer
Required CredentialsTypically a degree in telecommunications, electronics, or related field; certifications like CCNA or CCNPSimilar degrees; certifications like CCNA, CCNP, or equivalent
Work EnvironmentTelecom companies, network providers, data centersTelecom firms, ISPs, network service providers
Employer & Industry UsageDesigns and manages network hardware and infrastructurePlans, designs, and optimizes network layouts and capacity

Both roles require similar technical credentials and work in the telecommunications industry. While Npu focuses more on hardware and network infrastructure management, Network Planning Engineers concentrate on designing and optimizing network layouts. They often collaborate but serve different functions within network development and maintenance.

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Npu jobs near you
Infographic showing various Npu job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution, with an average salary of $57,583 per year, or $27.7 per hour.

Lead Audio ML Engineer

Hark

San Jose, CA • On-site

$120K/yr

Full-time

Re-posted 19 days ago

Job description

About Hark
Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.
We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.
To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.
About the Role
We are looking for an Lead Audio ML Engineer to implement, train, and ship audio models that run on-device across our consumer products. This role spans the full lifecycle of on-device audio intelligence: model design, training, evaluation, and deployment to constrained hardware. You will work alongside our DSP, firmware, and product teams to turn audio model research into production features that ship at scale.
Responsibilities
  • Implement and train audio models for wake-word detection, voice activity detection, source separation, speech enhancement and similar audio
  • Take models from research prototype to on-device deployment within latency, memory, and power budgets
  • Build and maintain training data pipelines, evaluation harnesses, and re-training cadence across model families
  • Partner with DSP and firmware engineers to integrate models into the Hark Audio Engine and DSP runtime
  • Collaborate with hardware and acoustics teams to characterize the signal conditions models must operate under
  • Profile and optimize models on target platforms (DSP, NPU, CPU) and define accuracy and resource budgets per product

Requirements
  • 3+ years of professional experience building and shipping audio or speech ML models
  • Strong fluency in PyTorch or TensorFlow and modern audio deep learning toolchains
  • Hands-on experience deploying models to embedded targets such as DSP, NPU, or mobile NPU and CPU
  • Comfort working across the full ML lifecycle: data, training, evaluation, deployment, and monitoring
  • Solid foundation in audio signal processing concepts and how they intersect with ML pipelines
  • Experience collaborating with DSP, firmware, and hardware engineers on resource-constrained systems

Bonus Qualifications
  • Background shipping voice-first or far-field audio products
  • Experience with on-device wake-word, ASR front-ends, or speech enhancement at production scale
  • Familiarity with model compression techniques such as quantization, pruning, and distillation
  • Familiarity with Qualcomm AI stacks or similar alternatives from other providers
  • Open-source contributions to audio ML projects

Compensation
The US base salary range for this full-time position is between $120,000 and $300,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components and benefits depending on the specific role. This information will be shared if an employment offer is extended.

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