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Full Time Neural Network Engineer Jobs (NOW HIRING)

Adaptic LLC

Network Engineer

Fort George G Meade, MD · On-site

Meade, MD 20755 US (Primary) Category Network Engineer (NE) Salary Grade Date Needed By Job Type Full-time Travel Overview Adaptic is looking for Network Engineers to make a huge impact on the DOD ...

DCS Corporation

DCS is searching for a performancedriven Network Engineer to support US Army programs. A focus on ... Employment Type: Full Time

VTG

Network Engineer

Herndon, VA · On-site

Overview We are seeking a talented and experienced Network Engineer with a specialized focus on ... UNAVAILABLEEmployment Type: FULL_TIME

SRI Tech solutions Inc

Network Engineer

Tampa, FL

Network Engineer FULLTIME/PERM Location: Tampa, FL SRI Tech a Tampa, FL-based custom software development and IT staffing firm, seeks a seasoned Network Engineer for a Full-Time position Tampa FL.

VTG

Network Engineer

Chantilly, VA · On-site

Overview We are seeking a skilled Network Engineer with at least 5 years of experience designing ... UNAVAILABLEEmployment Type: FULL_TIME

VTG

Network Engineer

Mclean, VA · On-site

Overview We are seeking a skilled Network Engineer with at least 5 years of experience designing ... UNAVAILABLEEmployment Type: FULL_TIME

Saalex

Network Engineer

Corona, CA · On-site

$85K - $109K/yr

Saalex is seeking a Network Engineer in Corona, CA. Saalex is an Engineering and Information ... Position Type: Full-Time Salary: $85K-$109K (depending on experience) Work Location: Hybrid remote ...

Saalex

Network Engineer

Corona, CA · Hybrid

$85K - $109K/yr

Saalex is seeking a Network Engineer in Corona, CA. Saalex is an Engineering and Information ... Position Type: Full-Time Salary: $85K-$109K (depending on experience) Work Location: Hybrid remote ...

Saalex

Network Engineer

Corona, CA · On-site

$85K - $109K/yr

Saalex is seeking a Network Engineer in Corona, CA. Saalex is an Engineering and Information ... Position Type: Full-Time Salary: $85K-$109K (depending on experience) Work Location: Hybrid remote ...

VTG

Network Engineer

Herndon, VA

Overview We are seeking a skilled Network Engineer with at least 5 years of experience designing ... UNAVAILABLEEmployment Type: FULL_TIME

VTG

Network Engineer

Chantilly, VA

Overview Byte Systems, a subsidiary of VTG, is seeking a Network Engineer (Expert). What will you ... UNAVAILABLEEmployment Type: FULL_TIME

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As of May 29, 2026, the average yearly pay for full time neural network engineer in the United States is $109,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $133,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Neural Network Engineer jobs? The most popular types of Neural Network Engineer jobs are:
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Embedded AI Tooling Engineer

Embedded AI Tooling Engineer

Analog Devices

Wilmington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Analog Devices rating

8.5

Company rating: 8.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

21st of 137 rated electronics manufacturers

Job description

About Analog Devices
Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).
Embedded AI Tooling Engineer
Analog Devices is uniquely positioned for success at the boundary of the physical and digital worlds. Analog Devices transforms physical phenomena - sound, light, radio waves, voltages, currents, and motion - into high fidelity data. Our mission is to build the Intelligent Edge where AI transforms the way we solve challenging problems by combining deep application knowledge, close customer relationships, extraordinary data, advanced circuits, and breakthrough algorithms.
Analog Devices has established the Embedded AI Tooling Team to provide development of next-generation embedded AI deployment infrastructure and model optimization tools for cutting-edge SoCs. Join our technically diverse team of AI infrastructure experts to unlock unprecedented AI performance in every domain.
Build Embedded AI Deployment Infrastructure for Intelligent Edge SoCs.
You will be a member of a core tooling team and will be instrumental in designing and implementing cutting-edge technology that will transform the semiconductor industry and enable embedded system engineers and research scientists to deliver AI-based solutions using ADI hardware.
During the first year, you will be part of a team responsible for achieving the following milestones:
  • Work with team members to design, implement, and release novel AI model deployment tools and infrastructure for heterogeneous computer architectures such as DSPs, NPUs, and CPUs as part of a larger SoC.
  • Build end-to-end workflows spanning model development, optimization, hardware-specific architecture, and deployment to ADI's embedded platforms-enabling developers to seamlessly move from model conception to production on resource-constrained devices.
  • Develop tools and infrastructure for hardware-aware model design, including architecture mapping techniques that adapt neural network structures to leverage specific hardware capabilities (DSP operations, NPU features, mixed-precision computation).
  • Design and implement model compilation and optimization pipelines that enable seamless quantization, pruning, layer fusion, and hardware-specific code generation for ADI's embedded hardware platforms.
  • Explore and prototype agentic AI workflows that leverage autonomous agents for automated model-hardware co-optimization, intelligent architecture search, and adaptive deployment strategies.
  • Become a thought leader in developing a company-wide strategy around production-quality embedded AI deployment infrastructure and hardware-aware model development tooling.

Desired Skills and Experience:
  • Strong embedded systems and computer architecture experience (bare-metal, RTOS, or embedded Linux).
  • Expertise in end-to-end AI/ML model development, from training through optimization and deployment on embedded platforms.
  • Experience with hardware-aware neural architecture design and model optimization techniques tailored to specific processor architectures.
  • Proficiency in C, C++, Python, with experience in firmware and low-level software development.
  • Deep understanding of neural network quantization, pruning, knowledge distillation, and optimization techniques for resource-constrained devices.
  • Knowledge of neural network accelerators (NPUs, DSPs) and efficient execution of neural networks on heterogeneous hardware.
  • Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and deployment tools (TensorFlow Lite, ONNX Runtime, TVM, etc.).
  • Experience with build systems (CMake, Make, Ninja), CI/CD pipelines, and infrastructure automation.
  • Background in ML algorithms (CNN, DNN, Transformer architectures) and their embedded implementation.
  • Familiarity with developer tooling (debuggers, profilers, SDKs, system configuration tools).

Bonus Points for:
  • Experience with hardware-software co-design and custom operator development for specialized hardware.
  • Knowledge of neural architecture search (NAS) and automated model optimization techniques.
  • Background in digital signal processing (DSP) and algorithm implementation experience.
  • Experience with agentic AI systems, multi-agent frameworks, or autonomous optimization workflows.
  • Experience with edge AI frameworks and deployment tools (TensorFlow Lite Micro, ONNX, Apache TVM, MLIR).
  • Understanding of compiler optimizations and code generation for embedded AI accelerators.
  • Experience with FPGA development including design, synthesis, simulation, and verification.
  • Experience with Zephyr RTOS and open-source RTOS ecosystems.
  • Experience contributing to and working with open-source ecosystems.
  • Understanding of heterogeneous architectures (ARM, RISC-V, DSPs, custom SoCs).

Why Join Us?
  • Lead high-impact projects shaping the future of embedded AI deployment and hardware-aware model development.
  • Work on cutting-edge embedded hardware with world-class teams.
  • Be part of an innovation-driven environment, defining the next generation of AI deployment infrastructure for intelligent edge devices.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
EEO is the Law: Notice of Applicant Rights Under the Law.
Job Req Type: Experienced
Required Travel: Yes, 10% of the time
Shift Type: 1st Shift/Days
The expected wage range for a new hire into this position is $110,385 to $151,808.
  • Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
  • This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
  • This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

What Analog Devices employees say

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About Analog Devices

Sourced by ZipRecruiter

Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure and connect.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Norwood, MA, US

Year founded

1965

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