DSP Engineer Jobs
DSP Engineer jobs are open from new-grad to principal across defense, consumer electronics, telecommunications, and medical devices, with common specializations in real-time signal processing, embedded firmware, and RF systems design. Find a role that fits below and apply directly.
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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're looking for an experienced Audio DSP Deployment Engineer to own how our audio algorithms work on device. Our algorithm team prototypes and validates new audio processing on the desktop in MaxMSP, JUCE, Python, and MATLAB, but the on-device implementation is its own design problem: what runs where, at what precision, in what block size, and within what compute, memory, and latency budget. You will own that design, reworking and extending algorithms so they hold up in real time on the embedded DSP cores inside our products, tuning them against real hardware and real acoustics, and carrying them through to a shipping feature. This is hands-on work close to silicon with genuine ownership of the on-device audio chain, and direct influence on how the product sounds and listens.
Responsibilities
- Own the on-device design of the audio algorithm chain: what runs where, at what precision and block size, and within what compute, memory, and latency budget
- Take algorithms from desktop prototype in MaxMSP, JUCE, Python, and MATLAB to production C/C++ running in real time on the embedded DSP cores, re-architecting them where the target demands it rather than transcribing them
- Develop, tune, and extend algorithms directly on device, and propose new processing where measurement or listening says the current approach falls short
- Optimize for the target DSP architecture: vector and SIMD intrinsics, fixed-point versus floating-point trade-offs, memory placement and DMA, cache and tightly coupled memory behavior, block size and latency tuning
- Profile and budget performance, measuring cycle load, memory footprint, and end-to-end latency, and removing hot spots
- Validate against both the reference implementation and measured and perceived audio quality, and build the test fixtures and regression scripts that prove it
- Debug on-device audio issues using platform tuning, logging, and real-time trace tools
- Work with the algorithm, acoustics, and hardware teams to shape what the on-device chain should do, not only how it gets built
Requirements
- Strong modern C/C++ for real-time, resource-constrained embedded systems
- Solid DSP fundamentals: filtering, FFT and overlap-add processing, sample rate conversion, fixed-point arithmetic, and numerical precision
- Ownership of on-device algorithm design decisions: restructuring processing to fit real-time constraints, choosing precision and topology, and knowing when to redesign rather than port
- Comfort working from measurements and listening as well as from a reference implementation
- Demonstrated experience porting reference algorithms from MATLAB, Python, or desktop C++ to an embedded DSP or SIMD target while meeting cycle and memory budgets
- Fluency in an embedded toolchain: cross-compilation, on-target debugging, and profiling
- Experience with embedded audio frameworks and real-time processing pipelines on an SoC platform
- Ability to work directly with algorithm authors, acoustics, and hardware teams
Bonus Qualifications
- Experience developing audio processing modules within a vendor DSP audio framework on a mobile or consumer SoC platform
- Familiarity with MaxMSP and/or JUCE as prototyping environments
- Audio domain depth in echo cancellation, noise suppression, beamforming with MEMS microphone arrays, loudspeaker protection, or spatial audio
- SIMD optimization on ARM NEON or comparable vector units, RTOS concepts, and audio HAL or driver-level integration
- Acoustic measurement literacy (Klippel, SoundCheck, APx) and experience building automated audio regression tests
Compensation
The US base salary range for this full-time position is between $120,000 - $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/benefits depending on the specific role. This information will be shared if an employment offer is extended.
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're looking for an experienced Audio DSP Deployment Engineer to own how our audio algorithms work on device. Our algorithm team prototypes and validates new audio processing on the desktop in MaxMSP, JUCE, Python, and MATLAB, but the on-device implementation is its own design problem: what runs where, at what precision, in what block size, and within what compute, memory, and latency budget. You will own that design, reworking and extending algorithms so they hold up in real time on the embedded DSP cores inside our products, tuning them against real hardware and real acoustics, and carrying them through to a shipping feature. This is hands-on work close to silicon with genuine ownership of the on-device audio chain, and direct influence on how the product sounds and listens.
Responsibilities
- Own the on-device design of the audio algorithm chain: what runs where, at what precision and block size, and within what compute, memory, and latency budget
- Take algorithms from desktop prototype in MaxMSP, JUCE, Python, and MATLAB to production C/C++ running in real time on the embedded DSP cores, re-architecting them where the target demands it rather than transcribing them
- Develop, tune, and extend algorithms directly on device, and propose new processing where measurement or listening says the current approach falls short
- Optimize for the target DSP architecture: vector and SIMD intrinsics, fixed-point versus floating-point trade-offs, memory placement and DMA, cache and tightly coupled memory behavior, block size and latency tuning
- Profile and budget performance, measuring cycle load, memory footprint, and end-to-end latency, and removing hot spots
- Validate against both the reference implementation and measured and perceived audio quality, and build the test fixtures and regression scripts that prove it
- Debug on-device audio issues using platform tuning, logging, and real-time trace tools
- Work with the algorithm, acoustics, and hardware teams to shape what the on-device chain should do, not only how it gets built
Requirements
- Strong modern C/C++ for real-time, resource-constrained embedded systems
- Solid DSP fundamentals: filtering, FFT and overlap-add processing, sample rate conversion, fixed-point arithmetic, and numerical precision
- Ownership of on-device algorithm design decisions: restructuring processing to fit real-time constraints, choosing precision and topology, and knowing when to redesign rather than port
- Comfort working from measurements and listening as well as from a reference implementation
- Demonstrated experience porting reference algorithms from MATLAB, Python, or desktop C++ to an embedded DSP or SIMD target while meeting cycle and memory budgets
- Fluency in an embedded toolchain: cross-compilation, on-target debugging, and profiling
- Experience with embedded audio frameworks and real-time processing pipelines on an SoC platform
- Ability to work directly with algorithm authors, acoustics, and hardware teams
Bonus Qualifications
- Experience developing audio processing modules within a vendor DSP audio framework on a mobile or consumer SoC platform
- Familiarity with MaxMSP and/or JUCE as prototyping environments
- Audio domain depth in echo cancellation, noise suppression, beamforming with MEMS microphone arrays, loudspeaker protection, or spatial audio
- SIMD optimization on ARM NEON or comparable vector units, RTOS concepts, and audio HAL or driver-level integration
- Acoustic measurement literacy (Klippel, SoundCheck, APx) and experience building automated audio regression tests
Compensation
The US base salary range for this full-time position is between $120,000 - $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/benefits depending on the specific role. This information will be shared if an employment offer is extended.
See All 86 DSP Engineer Jobs
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Find DSP Engineer JobsDSP Engineer Job Market
Who's Hiring
Top Industries Hiring
- Electronics & Hardware
- Telecommunications
- Technology & Software
What Employers Look For
The qualifications that appear most often in DSP engineer jobs.
- Bachelor's or master's degree in electrical engineering, signal processing, or a related field
- Proficiency in MATLAB and Python for algorithm development and simulation
- Experience implementing DSP algorithms in C or C++ for embedded or real-time systems
- Hands-on knowledge of FPGA or DSP processor development using tools like Xilinx or Texas Instruments
- Familiarity with filter design, FFT analysis, and spectral estimation techniques
- Experience with hardware-in-the-loop testing and debugging signal processing pipelines
Tips for Your DSP Engineer Job Search
Tailor your resume to filter type
Hiring managers for dsp engineer roles scan for specific filter architectures like FIR, IIR, or adaptive filters. Name the exact types you've implemented, the sampling rates you worked at, and the hardware targets, rather than listing signal processing as a broad skill.
Show your math in project descriptions
DSP roles expect candidates who can move from theory to implementation. For each project, describe the algorithm you chose, why you chose it over alternatives, and how you validated the frequency response or noise floor in hardware.
Apply early to roles that fit
Migrate Mate lists dsp engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target job titles beyond the obvious
Many dsp engineer openings are posted under titles like embedded signal processing engineer, RF systems engineer, or computational imaging engineer. Searching only for the exact title means missing a large share of relevant openings that match your actual skill set.
Prepare for coding screens with DSP problems
Technical screens for dsp engineer roles often include convolution, FFT implementation, or fixed-point arithmetic exercises, not just general software problems. Practice these in Python or C without library shortcuts, since interviewers frequently ask you to implement from scratch.
Negotiate around hardware access, not just pay
In dsp engineer offers, ask specifically about access to lab equipment, FPGA development boards, and software-defined radio platforms during the offer conversation. Constrained hardware access limits what you can build and demonstrate, which affects your career progression as much as the base offer does.
DSP Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most dsp engineers?
The most active employers for dsp engineers right now are Bose, Amazon, and Akina, and the most openings are in California, Maryland, and Virginia, based on current listings on Migrate Mate as of November 2026. Defense contractors, consumer electronics firms, and semiconductor companies consistently account for a large share of active postings.
How many dsp engineer jobs are remote?
About 45% of dsp engineer openings are fully remote or hybrid as of November 2026, though the share varies significantly by specialization. Roles focused on algorithm development, simulation, and software-defined processing tend to offer more remote flexibility, while positions requiring lab access, hardware bring-up, or classified work are almost always on-site.
How do you become a dsp engineer?
Most dsp engineers start with a bachelor's degree in electrical engineering or a closely related field, with coursework covering linear systems, digital signal processing, and embedded systems. Building hands-on experience through senior capstone projects or personal FPGA and microcontroller work strengthens early applications. A master's degree focused on signal processing or communications opens doors to more specialized research and design roles, particularly in defense and medical devices.
How do you get hired as a dsp engineer with little experience?
Employers hiring early-career dsp engineers look most closely at demonstrated implementation experience, not just coursework. Build a portfolio of projects where you designed and tested a filter, implemented an FFT-based feature detector, or processed real sensor data on embedded hardware. Contributing to open-source signal processing tools or publishing documented project writeups also gives hiring managers something concrete to evaluate beyond your degree.
What does the dsp engineer interview process look like?
Most dsp engineer interview processes include a recruiter screen, a technical phone or video round covering signal processing fundamentals and algorithm questions, and an on-site or virtual loop with engineering team members. Expect at least one session where you work through a filter design or FFT problem in real time. Senior roles often add a system design discussion where you walk through tradeoffs between processing architectures for a given application.
Where can I find and apply to dsp engineer jobs?
You can find and apply to dsp engineer jobs on Migrate Mate, which lists current openings from across the United States. The listings cover roles at every experience level and across industries including defense, telecommunications, consumer electronics, and medical devices. Find roles that fit your background and apply directly to each listing.
See All 86 DSP Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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