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Npu Jobs (NOW HIRING)

Principal Audio/DSP Systems Engineer

Wilmington, MA · On-site

$200K - $275K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Define and drive DSP/NPU partitioning strategies, balancing workload allocation, memory bandwidth, latency, and power across processing elements on the SoC * Own simulation-to-RTL validation flows ...

Principal Audio/DSP Systems Engineer

Wilmington, MA · On-site

$200 - $275/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Define and drive DSP/NPU partitioning strategies, balancing workload allocation, memory bandwidth, latency, and power across processing elements on the SoC * Own simulation-to-RTL validation flows ...

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 ...

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 ...

GPU Driver & Memory Management Architect

Palo Alto, CA

$147K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The role will deliver improved GPU/NPU utilization for AI workloads. The role offers tangible feedback to enhance product quality, while overseeing tracking and reporting of product-related ...

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 ...

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 ...

Staff Simulation Software Engineer

San Jose, CA

  • 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 ...

GPU Driver & Memory Management Architect

Spring, TX · On-site

$147K - $230K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

The role will deliver improved GPU/NPU utilization for AI workloads. The role offers tangible feedback to enhance product quality, while overseeing tracking and reporting of product-related ...

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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.

More about Npu jobs

What cities are hiring for Npu jobs?

Cities with the most Npu job openings:

What states have the most Npu jobs?

States with the most job openings for Npu jobs include:

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.

Senior Product Manager, Hardware - NPU IP

Jobtailor

Burlingame, CA • On-site

$140 - $190/hr

Other

Posted 13 days ago


Job description

Responsibilities
  • Hardware roadmap. Translate customer requirements, competitive pressure, and architectural constraints into a track-by-track feature list with explicit gating — what ships, what slips, what gets cut.
  • Architecture freeze. Build the case for contested architecture decisions (e.g., dedicated requant unit vs. wider MAC array), run the tradeoff with the architects, and bring a recommendation to the PSC.
  • Customer engagement. Named hardware product owner for anchor accounts. Present new features, ingest formal architecture feedback, and convert it into roadmap input.
  • IP usability. Find what customers are silently working around — API wrappers, glue logic, custom RTL hooks, workaround scripts.
  • Hardware competitive intelligence. Track Synopsys NPX6, Arm Ethos‑U85, Ceva NeuPro‑M, VeriSilicon Vivante, and NVIDIA Jetson at the architectural level. Translate competitor moves into specific feature requirements before gaps appear in customer evals.
  • SoC integration positioning. Decide which integration knobs (AXI4/ACE‑Lite, CoreSight, power‑domain partitioning, performance counters) are exposed, which are productized, and how they’re described in the integration guide.
  • Functional safety positioning. Sequence FMEDA work, lockstep configurations, and safety‑island architecture.
Requirements
  • 5–8 years of PM experience on hardware or silicon products. Senior IC background.
  • Customer‑facing track record - You have run architecture reviews with sophisticated technical buyers — Tier 1 automotive, OEM SoC teams.
  • IP‑licensing rhythm - Customers integrate our IP for 18–24 months before silicon ships. Decisions today appear in production volume in 2028.
  • Agent‑pilled - You use agentic AI tools daily (Claude Code, Cursor, or equivalent) to produce work.
  • Customer first.
  • Direct experience with at least two of: NPU/AI accelerator architecture, SoC integration, DSP/vector compute, automotive silicon, semiconductor IP licensing.
  • EE/CE/CS engineering degree or equivalent depth.
  • Experience with in‑person technical customer reviews.
  • Bay Area resident or willing to relocate to Burlingame.
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