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Hardware Acceleration Engineer Jobs in Arizona (NOW HIRING)

EndoSec LLC

FPGA Engineer

Phoenix, AZ · On-site

$129K - $165K/yr

S. Government Security Clearance FPGA Engineer The EndoSec FPGA Engineer is responsible for the ... hardware acceleration techniques for computationally intensive tasks - Familiarity with Python ...

mercury

Hardware Electrical Engineer

Phoenix, AZ · On-site

In this role, our team is looking for an Electrical Engineer II who will serve as a Hardware Design ... From silicon to system scale, Mercury enables customers to accelerate innovation and turn data into ...

Mercury Systems

Hardware Electrical Engineer

Phoenix, AZ · On-site

In this role, our team is looking for an Electrical Engineer II who will serve as a Hardware Design ... From silicon to system scale, Mercury enables customers to accelerate innovation and turn data into ...

Prosum Inc.

Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

Responsibilities include eliminating hardware bottlenecks through CUDA kernel tuning and GPU ... GPU Acceleration * Design, develop, and optimize CUDA kernels to accelerate deep learning inference ...

Intel

Neuromorphic Front-End Silicon Lead

Phoenix, AZ · On-site

$220K - $311K/yr

Mentor engineers and strengthen design and verification practices as the program scales ... Preferred qualifications PhD with a research background in hardware acceleration, especially AI.

ASM

Engineer II, Process Engineering

Phoenix, AZ · On-site

... accelerated process development by providing dedicated engineering coverage for DOE execution, tool qualifications, hardware evaluations, and process demonstrations. The ideal candidate combines ...

Mesa Labs

Firmware Engineer

Tucson, AZ · On-site

$80K - $100K/yr

... accelerate the discovery, development, and manufacture of biotherapeutic drugs. Job Summary The ... This role supports hardware and software integration, working with analog and digital systems to ...

Mesa Labs

Firmware Engineer

Tucson, AZ · On-site

$80K - $100K/yr

... accelerate the discovery, development, and manufacture of biotherapeutic drugs. Job Summary The ... This role supports hardware and software integration, working with analog and digital systems to ...

Protein Technologies Inc

Firmware Engineer

Tucson, AZ

$80K - $100K/yr

... accelerate the discovery, development, and manufacture of biotherapeutic drugs. Job Summary The ... This role supports hardware and software integration, working with analog and digital systems to ...

Mesa Labs, Inc.

Firmware Engineer

Tucson, AZ · On-site

... accelerate the discovery, development, and manufacture of biotherapeutic drugs. Job Summary The ... This role supports hardware and software integration, working with analog and digital systems to ...

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Hardware Acceleration Engineer information

What is a hardware acceleration engineer?

A Hardware Acceleration Engineer is a specialist who designs, develops, and optimizes hardware components or systems to perform specific computational tasks more efficiently than general-purpose processors. They work with technologies like FPGAs, GPUs, or ASICs to accelerate workloads such as machine learning, video processing, or data encryption. Their role often involves close collaboration with software and hardware teams to identify bottlenecks and implement solutions that improve overall system performance.

What are the key skills and qualifications needed to thrive as a hardware acceleration engineer?

To thrive as a Hardware Acceleration Engineer, you need a strong background in computer engineering, digital logic design, and familiarity with hardware description languages (HDLs) like VHDL or Verilog, often supported by a relevant engineering degree. Experience with FPGA/ASIC development tools, hardware simulation environments, and knowledge of acceleration frameworks such as CUDA or OpenCL is typically required. Strong problem-solving skills, attention to detail, and effective teamwork set outstanding candidates apart in this field. These skills and qualities are crucial for designing efficient, high-performance hardware solutions that meet complex computational demands.

How does a hardware acceleration engineer typically collaborate with software development teams?

Hardware Acceleration Engineers work closely with software development teams to identify performance bottlenecks and design custom hardware solutions, such as FPGA or ASIC implementations, that optimize computational tasks. This collaboration often involves frequent code reviews, joint architecture discussions, and iterative testing to ensure seamless integration between hardware and software components. Effective communication and a strong understanding of both hardware and software constraints are essential to deliver high-performance, scalable systems.

What cities in Arizona are hiring for Hardware Acceleration Engineer jobs?

Cities in Arizona with the most Hardware Acceleration Engineer job openings:

Robotics and Autonomy Engineer

Scottsdale, AZ • On-site

Judge Group, Inc.
Recruiting and Staffing Services • 5 - 10K employees
Learn more about Judge Group, Inc.external

$70 - $80/hr

Other

Medical, Dental, Vision

Posted 9 days ago

Job description

Location: Scottsdale, AZ Salary: $70.00 USD Hourly - $80.00 USD Hourly Description:
Title: Robotics/Autonomy Engineer
Type: Contract - 6+ Months
Location: Scottsdale, AZ - Fully onsite
Seeking a highly skilled Robotics/Autonomy Engineer - Computer Vision to lead the development and integration of advanced perception, vision-based navigation, and autonomy software for a small unmanned electric aircraft.
You will collaborate closely with flight software, aeromechanical, and avionics teams to deliver robust autonomy solutions for GPS-denied, contested, and complex operating environments from prototype through production. The position focuses on cutting-edge computer vision, sensor fusion, and real-time autonomy algorithms that enable resilient operations in austere conditions.
Key Responsibilities
  • Design, develop, and optimize computer vision and ISP software for real-time robotic and UAV applications
  • Develop computer vision algorithms for perception, navigation, target detection, and tracking in GPS-denied and contested environments
  • Implement and maintain camera drivers, video pipelines, and hardware-accelerated vision algorithms
  • Integrate vision systems with navigation, control, and autonomy software stacks
  • Implement and validate autonomy capabilities using vision-based inputs and multi-sensor data
  • Support sensor fusion, SLAM, obstacle avoidance, and autonomous navigation functionality
  • Select, configure, integrate, and test vision sensors and compute payloads
  • Ensure software solutions are scalable, maintainable, efficient, and production-ready
  • Collaborate with hardware, systems, avionics, and autonomy engineers to deliver end-to-end solutions
  • Troubleshoot and resolve system-level issues involving camera systems and vision pipelines
  • Participate in field testing, data collection, performance analysis, and system refinement
  • Document software architecture, algorithms, implementation details, and test procedures
  • Stay current with emerging computer vision, machine learning, and hardware acceleration technologies
Technical Skills
  • Strong understanding of image formation, filtering, feature extraction, segmentation, optical flow, object detection, tracking, and recognition
  • Experience with camera calibration (intrinsic and extrinsic) and synchronization of multi-sensor data
  • Proficiency with OpenCV, GStreamer, and V4L2
  • Experience with hardware acceleration technologies including CUDA, SIMD, Vulkan, or similar frameworks
  • Familiarity with Nvidia Jetson platforms, FPGAs, VPUs, Intel Movidius, and Coral TPU
  • Experience with deep learning-based computer vision techniques including CNNs, transformers, and object detection/segmentation frameworks such as YOLO, Faster R-CNN, Mask R-CNN, DETR, and SAM
  • Knowledge of classical computer vision algorithms including SIFT, SURF, ORB, HOG, Harris, and FAST
  • Understanding of image and video stabilization, SLAM, and 3D reconstruction
  • Experience with Docker and containerized development environments
  • Proficiency with Git and CMake
Required Qualifications
  • Bachelor's degree or higher in Computer Engineering, Electrical Engineering, Computer Science, Robotics, or a related field
  • 5+ years of industry experience in computer vision, robotics, embedded systems, or related disciplines
  • Proven experience developing image signal processing (ISP) and computer vision software
  • Hands-on experience with MIPI Camera Serial Interface (CSI) and image sensor driver development
  • Experience integrating and operating camera systems within UAVs or autonomous platforms
  • Knowledge of video codecs such as H.264 and H.265
  • Experience with video transmission technologies and protocols including RTSP and MPEG-TS
  • Strong programming skills in C++, Python, and/or Rust

Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
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This job and many more are available through The Judge Group. Please apply with us today!

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