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Overnight Embedded Systems Engineer Jobs in Colorado

Judge Group, Inc.

$160K - $170K/yr

Embedded Systems Engineer (Space & High-Reliability Systems) Job Summary We are seeking an experienced Embedded Systems Engineer to evaluate and optimize the deployment of advanced analytical ...

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FIRST RF CORPORATION

Embedded Systems Engineer

Boulder, CO · On-site

$80K - $150K/yr

Master's degree in Electrical Engineering or related field * Experience with real time operating systems for embedded systems * Experience in digital design using Verilog and/or VHDL * Experience ...

FIRST RF

Embedded Systems Engineer

Boulder, CO · Hybrid

Master's degree in Electrical Engineering or related field * Experience with real time operating systems for embedded systems * Experience in digital design using Verilog and/or VHDL * Experience ...

DMC Engineering

Embedded Engineer

Denver, CO · Hybrid

$135K - $178K/yr

(Hybrid) Description Are you passionate about embedded systems, from initial ideas to hardware design to the final firmware? As an Embedded Engineer at DMC, you will use your embedded expertise and ...

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Overnight Embedded Systems Engineer information

What is an overnight embedded systems engineer?

Overnight Embedded Systems Engineers are professionals who specialize in designing, developing, and troubleshooting embedded systems during overnight or late-night shifts. These engineers work on hardware and software components that are integrated into devices such as industrial machines, medical equipment, or consumer electronics. Overnight shifts are often necessary in industries that require 24/7 support for critical systems or to ensure that projects with tight deadlines stay on track. Their responsibilities may include debugging, firmware updates, system testing, and responding to urgent technical issues that arise outside of standard business hours.

What are the key skills and qualifications needed to thrive as an overnight embedded systems engineer?

To thrive as an Overnight Embedded Systems Engineer, you need a solid background in embedded systems design, programming (C/C++), and hardware-software integration, often backed by a degree in electrical engineering or computer science. Familiarity with tools like oscilloscopes, logic analyzers, real-time operating systems (RTOS), and version control systems such as Git is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills, especially when working independently or during off-hours. These abilities ensure the engineer can efficiently identify and resolve issues, maintain system reliability, and support continuous operations during overnight shifts.

What are some unique challenges faced by overnight embedded systems engineers, and how can they be managed effectively?

Overnight Embedded Systems Engineers often encounter challenges such as limited real-time support from colleagues or external vendors, as most teams operate during standard business hours. This requires strong problem-solving skills and the ability to work independently when troubleshooting system issues or deploying updates. Effective documentation, clear communication with the day team through shift handovers, and leveraging remote collaboration tools can help ensure continuity and minimize disruptions. Additionally, maintaining a healthy work-life balance is important, as overnight shifts can impact sleep patterns and overall well-being.

What are the most commonly searched types of Embedded Systems Engineer jobs in Colorado?

The most popular types of Embedded Systems Engineer jobs in Colorado are:

What cities in Colorado are hiring for Overnight Embedded Systems Engineer jobs?

Cities in Colorado with the most Overnight Embedded Systems Engineer job openings:

Overnight Embedded Systems Engineer jobs near you

Embedded Systems Engineer

Judge Group, Inc.

On-site

$160K - $170K/yr

Other

Posted yesterday

New

Job description

Location: Shaw Heights, CO Salary: $160,000.00 USD Annually - $170,000.00 USD Annually Description:
Embedded Systems Engineer (Space & High-Reliability Systems)
Job Summary
We are seeking an experienced Embedded Systems Engineer to evaluate and optimize the deployment of advanced analytical workflows on spaceflight and other resource-constrained computing platforms. This role will assess the feasibility of running computationally intensive algorithms in environments with strict limitations on processing power, memory, energy consumption, and system reliability.
The ideal candidate will have experience with embedded systems, FPGA development, and high-reliability computing environments such as aerospace, space, defense, or avionics applications. This individual will collaborate closely with software, data science, and engineering teams to identify performance constraints, recommend optimization strategies, and support technology maturation efforts.
Key Responsibilities
  • Evaluate and profile analytical software workflows on embedded and onboard processing architectures.
  • Measure and analyze system performance, including:
    • Processing throughput
    • Memory utilization
    • Latency
    • Power consumption
  • Identify computational bottlenecks and performance limitations across processing pipelines.
  • Develop hardware/software partitioning strategies, including CPU and FPGA-based acceleration approaches.
  • Collaborate with software and algorithm development teams to evaluate optimization opportunities, including:
    • Model compression
    • Fixed-point conversion
    • Reduced-order computational techniques
  • Assess radiation-related impacts and mitigation strategies for space-based platforms, including fault tolerance and system resiliency considerations.
  • Contribute to embedded system and onboard processing architecture design, including data flow, interfaces, and secure communications pathways.
  • Create technical trade studies, performance assessments, and technology roadmaps to support engineering decisions and future program execution.
  • Support hardware-in-the-loop testing, validation activities, and transition planning for operational deployment.
  • Develop confidence metrics and technical documentation to support system performance assessments and operational decision-making.
Required Qualifications
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
  • 5+ years of experience developing or evaluating embedded systems in aerospace, defense, avionics, space, or other high-reliability environments.
  • Strong programming experience in:
    • C/C++
    • Python
  • Experience profiling, optimizing, and troubleshooting computationally intensive applications.
  • Demonstrated experience with radiation-tolerant, radiation-hardened, or other mission-critical processing platforms.
  • Hands-on FPGA development experience using:
    • VHDL and/or Verilog
    • High-Level Synthesis (HLS) toolchains
  • Knowledge of:
    • Real-time systems
    • SWaP (Size, Weight, and Power) constraints
    • Deterministic memory management
    • Latency and performance analysis
  • Experience creating technical evaluations, trade studies, and engineering recommendations supported by measurable data.
  • Ability to obtain and maintain a U.S. Government security clearance.
Preferred Qualifications
  • Experience supporting spaceflight hardware or systems that have completed qualification, testing, or deployment activities.
  • Experience deploying machine learning or AI inference models on embedded platforms, FPGA targets, or edge computing devices.
  • Familiarity with spacecraft avionics architectures, onboard data handling systems, and flight software development practices.
  • Knowledge of industry standards such as DO-178C, NASA software standards, or comparable aerospace development frameworks.
  • Experience implementing embedded cybersecurity, cryptographic technologies, or secure key management solutions.
  • Prior experience supporting government-funded research and development programs, including technology transition and roadmap planning efforts.
Work Environment
  • Full-time position.
  • Collaboration with multidisciplinary engineering, software, and data science teams.
  • May require eligibility for government or defense-related programs and security clearance sponsorship.

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