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Fpga Embedded Software Engineer Jobs in Utah (NOW HIRING)

Draper

Senior Embedded Software Engineer

Clearfield, UT · On-site

$82K - $220K/yr

The Software Engineer (SMTS) works on mission-oriented projects that span from self-driving cars and unmanned vehicles to medical applications and fielded systems for battlefield situational ...

Draper

Senior Embedded Software Engineer

Clearfield, UT · On-site +1

$82K - $220K/yr

The Software Engineer (SMTS) works on mission-oriented projects that span from self-driving cars and unmanned vehicles to medical applications and fielded systems for battlefield situational ...

Raytheon

Principal Real-time Software Engineer

Provo, UT

$127K - $171K/yr

Our Principal Embedded Real-Time Software Developer/Integrator is a technical position that works ... FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems ...

Raytheon

Principal Real-time Software Engineer

Provo, UT

$127K - $171K/yr

Our Principal Embedded Real-Time Software Developer/Integrator is a technical position that works ... FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems ...

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Fpga Embedded Software Engineer information

What are the typical challenges faced by FPGA Embedded Software Engineers when integrating hardware and software components?

FPGA Embedded Software Engineers often encounter challenges in synchronizing software algorithms with hardware logic, ensuring optimal performance and resource utilization. Debugging issues that arise from timing mismatches or interface incompatibilities between hardware and software can be complex and time-consuming. Effective communication and close collaboration with hardware engineers are essential to resolve integration bottlenecks and achieve seamless operation. This role requires a strong understanding of both digital design and embedded programming to troubleshoot and optimize system behavior.

What is the difference between Fpga Embedded Software Engineer vs FPGA Firmware Engineer?

AspectFpga Embedded Software EngineerFPGA Firmware Engineer
Required SkillsEmbedded C/C++, FPGA design, hardware-software integrationVHDL/Verilog, FPGA development, hardware description languages
Work EnvironmentEmbedded systems, software development teams, hardware-software integrationHardware design teams, FPGA development labs
Industry UsageConsumer electronics, aerospace, defense, telecommunicationsHigh-speed data processing, signal processing, communications

While both roles involve FPGA technology, the Fpga Embedded Software Engineer focuses on developing embedded software that runs on FPGA-based systems, integrating hardware and software. In contrast, the FPGA Firmware Engineer primarily designs and implements FPGA hardware logic using HDL languages. Both roles require knowledge of FPGA design, but their focus areas differ—software versus hardware description languages.

What are the key skills and qualifications needed to thrive as an FPGA Embedded Software Engineer, and why are they important?

To thrive as an FPGA Embedded Software Engineer, you need a strong background in digital design, hardware description languages (such as VHDL or Verilog), and embedded systems, typically supported by a degree in electrical engineering or a related field. Proficiency with FPGA development tools (like Xilinx Vivado or Intel Quartus), simulation software, and debugging instruments is crucial, along with familiarity with C/C++ for embedded programming. Strong problem-solving, attention to detail, and effective communication skills set top professionals apart in this role. These skills are vital for designing reliable, high-performance systems and collaborating efficiently with multidisciplinary teams.

What does an FPGA Embedded Software Engineer do?

An FPGA Embedded Software Engineer designs, develops, and maintains software that runs on Field Programmable Gate Arrays (FPGAs). They work closely with hardware teams to implement embedded systems, often using languages like VHDL, Verilog, and C/C++. Their responsibilities include creating firmware, optimizing system performance, and integrating hardware and software components. These engineers are crucial in industries such as telecommunications, aerospace, automotive, and consumer electronics, where real-time processing and customizable hardware are needed.
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Fpga Embedded Software Engineer jobs near you
AI Engineer IV (Embedded Software)

AI Engineer IV (Embedded Software)

Autonomous Solutions

Mendon, UT • On-site

$145K - $169K/yr

Full-time

Re-posted 29 days ago

Job description

Autonomous Solutions Inc builds autonomous systems for fleets operating in demanding, high-risk, and repetitive environments. Founded in 2000, we've grown into one of the largest privately held robotics companies in the world, with deployments across heavy construction, agriculture, logistics, and landscaping. Our work is guided by seven core values: Simplicity, Safety, Transparency, Humility, Attention to Detail, Autonomy, and Growth. Being privately held means good ideas move quickly, ownership is real, and the work you do here shows up in the world.
As an AI Engineer IV (Embedded Software), you will deploy, optimize, and maintain AI capabilities on constrained hardware platforms within Autonomous Solutions Inc's robotics systems. You will ensure AI models operate reliably within tight compute and memory limits, integrating smoothly with firmware and robotics software. This role sits at the intersection of AI model deployment and embedded systems engineering, where real-time performance and hardware constraints matter as much as model accuracy.
Responsibilities
  • Deploy AI models onto constrained hardware and embedded platforms.
  • Optimize compute, memory, and power usage for real-time embedded operation.
  • Convert AI models into production-ready embedded libraries or hardware-optimized modules.
  • Tune real-time performance and latency to meet embedded system requirements.
  • Integrate AI models and algorithms that improve system efficiency and reliability.
  • Test and validate AI performance on embedded platforms for robustness and stability.
  • Collaborate with robotics, firmware, and software teams on embedded AI alignment.
  • Continuously improve embedded AI systems through updates, optimizations, and performance refinements.

Qualifications
  • Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
  • 8+ years designing and implementing embedded real-time software systems using C/C++.
  • 3+ years deploying AI or ML models on embedded systems or constrained hardware.
  • Proficiency with ML inference runtimes such as TensorRT, ONNX Runtime, or TensorFlow Lite.
  • Experience optimizing compute, memory, and power for real-time embedded applications.
  • Familiarity with microcontrollers, embedded Linux, RTOS, or hardware accelerators.
  • Experience with large multithreaded embedded applications running on an RTOS.

Physical Requirements
  • Ability to remain in a stationary position at a computer workstation for extended periods.
  • Ability to operate a computer and other office productivity equipment continuously.
  • Ability to communicate and exchange information in person, via phone, and through electronic means.
  • Ability to traverse office, lab, data center, and field environments as required.

At Autonomous Solutions Inc, we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. Autonomous Solutions Inc complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

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