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Neural Dsp Jobs (NOW HIRING)

quadric, Inc

AI Kernel Engineer

Burlingame, CA

$110K - $270K/yr

... neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control ...

quadric, Inc

Design Verification Intern

Burlingame, CA

$45 - $60/hr

... neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control ...

Neuralink

Signal Processing Engineer

Austin, TX

$121K - $230K/yr

... DSP) algorithms for on-chip and embedded implementation. In this role, you will create efficient ... Design and develop signal processing algorithms for sensing neural activity in the cortex (e.g ...

quadric, Inc

Design Verification Intern

Burlingame, CA · On-site

$45 - $60/hr

... neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control ...

quadric, Inc

Design Verification Intern

Burlingame, CA · On-site

$45 - $60/hr

... neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control ...

The Walt Disney Company

Sr Staff R&D Engineer

Nicasio, CA · On-site

$206K - $276K/yr

... neural vocoders, latent diffusion models, and advanced retraining workflows. As a core member of ... Fluency in audio signal processing fundamentals and the integration of DSP into ML pipelines.

Hark

On-Device Research Engineer

San Jose, CA

$120K - $300K/yr

Experience with Hexagon DSP, NPUs, Ambiq class MCUs, or similar * Experience with knowledge distillation at scale, including teacher-ensemble or multi-stage distillation * Familiarity with neural ...

Hark

On-Device Research Engineer

San Jose, CA · On-site

$120K - $300K/yr

Experience with Hexagon DSP, NPUs, Ambiq class MCUs, or similar * Experience with knowledge distillation at scale, including teacher-ensemble or multi-stage distillation * Familiarity with neural ...

quadric, Inc

AI Inference Engineer

Burlingame, CA · On-site

$110K - $270K/yr

... neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control ...

quadric, Inc

AI Inference Engineer

Burlingame, CA · On-site

$110K - $270K/yr

... neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control ...

quadric, Inc

AI Inference Engineer

Burlingame, CA · On-site

$110K - $270K/yr

... neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control ...

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How much do neural dsp jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for neural dsp in the United States is $16.28, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $17.55 per hour, depending on experience, location, and employer.

What are the common daily tasks and team interactions for a Neural DSP Engineer?

A Neural DSP Engineer typically spends their days designing, implementing, and optimizing algorithms that combine neural network models with digital signal processing techniques. This can involve coding, running simulations, evaluating system performance, and troubleshooting both software and, in some cases, embedded hardware. Collaboration is frequent, as you will often work closely with software engineers, data scientists, audio engineers, or product managers to ensure that neural DSP solutions meet project requirements. Regular meetings and code reviews are standard, and you may participate in cross-functional teams working on research, prototyping, or product development. This collaborative environment fosters both technical growth and the exchange of new ideas.

What is a Neural DSP job?

A Neural DSP job typically involves working with digital signal processing (DSP) for audio applications, particularly in developing software and hardware for music production and guitar effects. Employees in these roles may focus on algorithm development, software engineering, machine learning, or sound design. The job often requires expertise in audio signal processing, programming languages like C++ or Python, and an understanding of music technology.

What are the key skills and qualifications needed to thrive in the Neural Dsp position, and why are they important?

To thrive as a Neural DSP (Digital Signal Processing) Engineer, you need a strong background in digital signal processing, neural network design, and proficiency with programming languages such as C++, Python, or MATLAB, typically backed by a degree in electrical engineering, computer science, or a related field. Experience with DSP development tools, neural network frameworks (like TensorFlow or PyTorch), and possibly embedded systems or audio processing platforms is highly valued. Excellent problem-solving abilities, adaptability, and effective collaboration are key soft skills in this multidisciplinary role. These abilities ensure you can design innovative neural DSP solutions, integrate them effectively into products, and work seamlessly across teams to meet cutting-edge technology needs.

More about Neural Dsp jobs
What states have the most Neural Dsp jobs? States with the most job openings for Neural Dsp jobs include:
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Neural Dsp jobs near you
Infographic showing various Neural Dsp job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $33,871 per year, or $16.3 per hour.
Senior Product Manager, Hardware (NPU IP)

Senior Product Manager, Hardware (NPU IP)

quadric, Inc

Burlingame, CA • On-site

$200K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
Quadric is seeking a Senior Product Manager, Hardware to own the Chimera GPNPU IP roadmap across five tracks - Compute, Efficiency, Scalability, Safety, and Integration. The IP we freeze in 2026 ships in customer silicon in 2027 and 2028. This role sets the feature list for QC and QD, drives architecture freeze decisions, and partners directly with anchor SoC customers on what they need next. You'll work with HW engineering on execution and the CPO on strategy.
This role is based in Burlingame (Hybrid- 3 days), with quarterly travel to Japan, U.S. East Coast, U.S. Midwest, and customer SoC teams worldwide.
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

Preferred
  • RTL or silicon-implementation background - shipped a block, sat through tape-out, or owned a microarchitecture spec end-to-end
  • Prior IP vendor experience (Synopsys, Arm, Ceva, Cadence, Imagination, VeriSilicon, Rambus, or similar)
  • Direct exposure to the AI/ML compute stack at the architecture level - dataflow, quantization, sparsity, mixed-precision tradeoffs
  • Japanese-market customer experience - our largest account and a meaningful share of the pipeline is in Japan

Benefits
At Quadric, we value Integrity, Humility, and Happiness. What we expect from one another is simple and clear: Initiative, Collaboration, and Completion.
  • Competitive salary and meaningful equity
  • Medical, dental, and vision plan options starting on day one
  • 401(k) retirement plan
  • Flexible paid time off (unlimited, non-accrual)
  • Company-provided lunches and a stocked kitchen
  • Monthly parking or Caltrain pass
  • Downtown Burlingame office, walking distance from Caltrain

The base salary range for this position is $200,000 to $250,000. This range reflects the full span of levels and geographies at which Quadric hires for this role. The actual base salary offered will depend on a number of factors, including the specific level of the role, years and depth of relevant experience, technical skills and competencies, the criticality of the role to the business, internal equity, and work location. In addition to base salary, this role is eligible for equity and a discretionary annual performance bonus as applicable to the role and level.
Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world's first supercomputer designed for the real-time needs of edge devices. The company was co-founded by Veerbhan Kheterpal (CEO) and Nigel Drego (CTO).
Quadric is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where people from all backgrounds can do their best work.
If this role resonates with you, we encourage you to apply even if your experience does not perfectly match every qualification. We value potential, curiosity, and a willingness to learn just as much as direct experience. Skills and growth come in many forms, and we would love to hear your story.
By submitting an application, you acknowledge that Quadric will collect and process your personal information as part of the hiring process. Please review our Privacy Policy to understand how we handle your data.
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About Quadric.io

Sourced by ZipRecruiter

Industry

Semiconductor and electronic component manufacturing

Company size

11 - 50 Employees

Headquarters location

Burlingame, CA, US

Year founded

2016

Social media

Twitter

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