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Analog Computing Jobs (NOW HIRING)

Normal Computing

Thermodynamic Hardware Resident

New York, NY · On-site

$120K - $161K/yr

You'll spend your residency embedded with the team building and characterizing our unconventional, thermodynamic computing hardware - silicon that exploits physical noise and analog dynamics rather ...

Renesas Electronics

Senior Analog Design Engineer

Chandler, AZ · On-site

$198K/yr

... Computing, Embedded Processing, Analog & Connectivity, and Power. Design and verify analog block-level and subsystem circuits for custom mixed-signal ASICs, ensuring they meet functional, performance ...

OMNIVISION

Sr. Analog Design Engineer

Santa Clara, CA · On-site

Job Title: Sr. Analog Design Engineer Job Duties: * Conduct design and development of image sensor ... Scripting and numerical computing with Python and MATLAB for simulation, automation, and data ...

OMNIVISION

Sr. Analog Design Engineer

Santa Clara, CA · On-site

$156K - $160K/yr

Job Title: Sr. Analog Design Engineer Job Duties: * Conduct design and development of image sensor ... Scripting and numerical computing with Python and MATLAB for simulation, automation, and data ...

Renesas Electronics

Senior Analog Design Engineer

Chandler, AZ · On-site

$198K/yr

... Computing, Embedded Processing, Analog & Connectivity, and Power. Design and verify analog block-level and subsystem circuits for custom mixed-signal ASICs, ensuring they meet functional, performance ...

OMNIVISION

Sr. Analog Design Engineer

Santa Clara, CA · On-site

$156K - $160K/yr

Description Job Title: Sr. Analog Design Engineer Job Duties: * Conduct design and development of ... Scripting and numerical computing with Python and MATLAB for simulation, automation, and data ...

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Analog Computing information

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$77K

$186.2K

$203K

How much do analog computing jobs pay per year?

As of Sep 10, 2026, the average yearly pay for analog computing in the United States is $186,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $202,000.00 and $202,000.00 per year, depending on experience, location, and employer.

What is analog computing?

Analog computing jobs involve the design, development, and maintenance of computing systems that use continuous physical phenomena—such as electrical voltages or mechanical movements—to model and solve problems. Professionals in this field may work on creating specialized hardware, simulating physical systems, or developing hybrid analog-digital technologies. These roles are crucial in applications where real-time processing and high-speed computations are required, such as signal processing, scientific instrumentation, and certain types of neural networks. While digital computing dominates most industries, analog computing is seeing renewed interest due to its efficiency in specific tasks.

What are the key skills and qualifications needed to thrive as an analog computing engineer?

To thrive as an Analog Computing Engineer, you need a deep understanding of analog circuit design, signal processing, and typically a degree in electrical engineering or a related field. Familiarity with simulation tools like SPICE, PCB layout software, and hands-on experience with lab instruments are commonly required. Strong problem-solving abilities, attention to detail, and effective communication help distinguish top performers in this role. These skills are crucial for designing reliable analog systems, troubleshooting complex issues, and collaborating with multidisciplinary teams.

What are some common challenges faced when working in analog computing roles, and how can they be addressed?

Professionals in Analog Computing often encounter challenges related to precision, noise management, and the integration of analog systems with digital components. Managing signal interference and ensuring accuracy in computations requires careful circuit design and frequent testing. Collaborating closely with cross-functional teams, such as digital engineers and system architects, is essential to successfully bridge analog and digital domains. Staying updated with the latest tools and simulation software can help address these challenges and improve workflow efficiency.

What is the difference between Analog Computing vs Digital Computing?

AspectAnalog ComputingDigital Computing
Required CredentialsTypically no formal certification, but knowledge of electronics and physicsOften requires degrees or certifications in computer science or engineering
Work EnvironmentLaboratories, research facilities, specialized industrial settingsOffices, data centers, tech companies, and virtually everywhere digital systems are used
Industry UsageResearch, specialized instrumentation, signal processingComputing, software development, data processing

Analog Computing involves processing data through continuous signals, often used in specialized research and instrumentation. Digital Computing processes data in discrete binary form, dominating mainstream computing and software applications. While both are essential in their domains, they differ in credentials, environments, and industry applications.

How does analog computing work?

Analog computing involves using continuous physical quantities, such as voltage or current, to represent data and perform calculations. It relies on electronic components like operational amplifiers and resistors to process signals directly, making it suitable for specific tasks like simulations or real-time data analysis. Skills in circuit design and understanding of physical systems are important for roles in this field.

What other helpful pages are available for Analog Computing?

Other pages related to Analog Computing:

Infographic showing various Analog Computing job openings in the United States as of September 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $186,238 per year, or $89.5 per hour.

Thermodynamic Hardware Resident

New York, NY • On-site

Normal Computing
See more jobs at Normal Computingexternal

$120K - $161K/yr

Full-time

Posted 22 days ago

Job description

Normal Computing | Build with Us
Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul.
The Residency Program
The Thermodynamic Hardware Residency is Normal Computing's flagship program for exceptional researchers and engineers who want to work at the frontier of unconventional computing. Residents join a small, hand-picked cohort with a dedicated research mentor, direct access to the team building our cutting-edge thermodynamic hardware, and a clear arc from onboarding through publication.
Every residency is built around two milestones that mark you as part of something bigger than a single project: a research paper co-authored with our team, and a company-wide research colloquium where you present your findings to the full Normal Computing organization. You'll leave with a body of published, presented work, and a standing as one of the earliest residents to help define what this program becomes. Exceptional performers will be considered for full-time conversion at the end of the residency.
Your Normal Experience
  • You'll spend your residency embedded with the team building and characterizing our unconventional, thermodynamic computing hardware - silicon that exploits physical noise and analog dynamics rather than fighting them.
  • This is a hands-on research residency: you'll take ownership of a real technical problem at the boundary of physics, hardware, and machine learning, work alongside the researchers and engineers building our hardware, and be expected to contribute ideas, not just execute someone else's.
  • Our hardware is designed to deliver orders-of-magnitude more AI inference per dollar, per watt than conventional GPUs - not by porting existing GPU kernels onto new chips, but by rethinking how core operations work when the substrate itself is stochastic analog computation in memory rather than conventional digital logic. That rethinking, from device physics up through algorithms, is exactly the kind of problem residents take on.
  • You'll get direct exposure to the pace, ambiguity, and speed of decision-making that comes with working at a fast-moving, well-funded hardware startup - where the distance between an idea on a whiteboard and a test on real silicon is measured in weeks, not years.

What You'll Do
  • Work hands-on with thermodynamic hardware. Help design, simulate, characterize, or evaluate our hardware, where noise, analog dynamics, and in-memory computation are first-class design elements rather than sources of error to be engineered away.
  • Design numerical methods for a new substrate. Explore algorithms and numerical methods that exploit thermal noise and analog dynamics directly, rather than adapting techniques built for conventional digital hardware.
  • Drive a research question of your own. Partner with researchers and hardware engineers to scope, run, and iterate on an original technical investigation - from device- or circuit-level physics up to algorithms and workloads that map onto thermodynamic compute.
  • Build evaluation frameworks and benchmarks. Help build the tests and benchmarks that measure how algorithmic ideas actually perform on real hardware and in simulation, and feed what you learn about model workloads back into hardware design decisions.
  • Co-author a paper. Work with the team to write up your findings for submission to a relevant venue, with mentorship on framing, experiments, and technical writing along the way - one of the two milestones every resident builds toward.
  • Present at the residency colloquium. Share your work and thinking with the broader Normal Computing research community at the program's capstone event, and get real-time feedback from people building this technology every day.
  • Experience startup pace firsthand. Work directly with founders, senior researchers, and engineers in a lean, fast-moving environment where priorities shift quickly and your work has an outsized, visible impact.

What Would Make You a Great Fit
  • Currently pursuing or recently completed a graduate degree (MS or PhD, or equivalent research experience) in physics, electrical engineering, computer engineering, computer science, applied math, or a related field - with a focus on hardware, device physics, stochastic or analog computing, or machine learning systems.
  • Comfortable moving between levels of abstraction: from the physics of noise and analog devices, to circuit- and architecture-level tradeoffs, to the algorithms and workloads that will eventually run on this hardware.
  • Some exposure to large-model inference concepts - attention mechanisms, KV caching, long-context decoding - and an interest in how they change when the underlying hardware isn't a GPU. Production-level experience isn't expected at the resident level, but the intuition should feel familiar.
  • Strong Python skills, plus comfort with (or eagerness to learn) a lower-level systems language such as C++ or Rust; hands-on experience with simulation, experimentation, or hardware characterization (e.g., SPICE, PyTorch, FPGA or ASIC tooling) is a plus.
  • First-principles reasoning about novel computational substrates: a genuine curiosity about unconventional computing, where exploiting thermal noise rather than suppressing it sounds more interesting than intimidating.
  • Strong written and verbal communication skills; prior experience writing up research (papers, theses, technical reports) is a plus, as is any experience presenting technical work to a live audience.
  • A bias toward ownership and self-direction: you're energized, not overwhelmed, by the ambiguity and speed of a small, fast-moving startup.

Equal Employment Opportunity Statement
Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Accessibility Accommodations
Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com.
Privacy Notice
By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.

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