Senior Embedded Systems Engineer Lifeloc Technologies Inc. - 3.0 Wheat Ridge, CO Job Details Full-time $130,000 - $160,000 a year 2 hours ago Benefits Health savings account Disability insurance Health insurance Dental insurance 401(k) Flexible spending account Paid time off Vision insurance 401(k) matching Life insurance Qualifications AI models Version control Software engineering Defect resolution root cause analysis Embedded systems Defect analysis Firmware Equipment troubleshooting Computer hardware Systems engineering Linux Embedded C Logic analyzers Electrical Engineering Microcontroller programming Hardware diagnostics Developer tools Microprocessors Failure analysis Full Job Description Lifeloc Technologies | Wheat Ridge, Colorado Lifeloc Technologies, a leader in breath alcohol testing and emerging drug-detection technologies, is seeking an experienced Senior Embedded Systems Engineer to support the development and commercialization of next-generation electronic instrumentation. This position will play a key role in the design, development, integration, testing, and sustaining engineering of embedded systems used within Lifeloc products, including our next-generation breath alcohol and drug-detection product lines. The ideal candidate is a strong hands-on embedded engineer with experience developing reliable, production-ready systems and working at the interface between hardware, firmware, software, sensors, and electromechanical components. We are also looking for an engineer who understands how modern AI-assisted engineering tools can be used responsibly to improve development efficiency, debugging, testing, documentation, and technical problem-solving. Key Responsibilities

• Design, develop, integrate, and maintain embedded firmware and software for new and existing products.
• Develop embedded applications using C/C++ and related programming languages.
• Develop and maintain systems utilizing FreeRTOS and/or Embedded Linux environments .
• Support embedded hardware design, processor and peripheral selection, board bring-up, and hardware/firmware integration.
• Develop and troubleshoot interfaces including

USB, UART, SPI, I

²C, Ethernet, Wi-Fi, and Bluetooth/BLE .

• Integrate sensors, motors, displays, wireless devices, and other electromechanical components into embedded systems.
• Perform system-level troubleshooting involving interactions between hardware, firmware, software, and mechanical components.
• Participate in requirements development, system architecture, design reviews, risk analysis, verification, and validation activities.
• Develop engineering test methods, automated test scripts, diagnostic tools, and regression testing approaches.
• Support prototype development, manufacturing transfer, production testing, and sustaining engineering activities.
• Investigate field and production issues and perform root-cause analysis and corrective-action support.
• Create and maintain software requirements, architecture documentation, interface specifications, test protocols, engineering reports, and release documentation.
• Collaborate closely with electrical, mechanical, software, scientific, manufacturing, and quality personnel.

AI-Assisted Engineering Lifeloc is expanding the responsible use of artificial intelligence within its engineering organization. The successful candidate will be expected to incorporate modern AI-assisted tools where they provide meaningful improvements in engineering efficiency and quality.

Applications may include:

• Using AI coding assistants to support code development, review, refactoring, and troubleshooting.
• Using AI to assist with debugging, log analysis, error interpretation, and root-cause investigation.
• Developing test cases, test scripts, regression tests, and automated engineering tools with AI assistance.
• Using AI-supported tools for analysis of device, sensor, manufacturing, and test data.
• Assisting with development and review of technical documentation, requirements, test protocols, and engineering reports.
• Evaluating alternative software and system architectures.
• Using AI to accelerate technical research and investigation of unfamiliar technologies. AI-generated code, analysis, and recommendations must be independently reviewed and validated using sound engineering practices before implementation. Required Qualifications
• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science , or a closely related technical discipline.
• Approximately 5+ years of professional embedded systems development experience , or an equivalent combination of education and experience.
• Strong programming experience with C and C++ in embedded environments.
• Experience with microcontrollers, microprocessors, embedded peripherals, and hardware interfaces.
• Experience developing within RTOS and/or Embedded Linux environments .
• Strong understanding of embedded hardware/software interaction.
• Experience debugging embedded systems using tools such as oscilloscopes, logic analyzers, debuggers, protocol analyzers, and related engineering equipment.
• Experience with source control and modern software-development practices.
• Strong analytical, troubleshooting, and root-cause analysis skills.
• Ability to work independently while collaborating effectively within a multidisciplinary engineering team.
• Strong written and verbal technical communication skills. AI and Modern Development Skills Candidates should have experience with, or a demonstrated willingness to effectively utilize, modern engineering productivity tools such as:
• Claude
• Copilot
• Gemini
• ChatGPT
• GitHub and others The successful candidate must be capable of independently evaluating the accuracy, safety, reliability, and appropriateness of AI-generated code and technical recommendations. Preferred Qualifications Experience in one or more of the following areas is desirable:
• Real-time operating systems such as FreeRTOS .
• Hardware-in-the-loop or automated system testing.
• Embedded Linux development, including Yocto Linux .
• Bluetooth/BLE and Wi-Fi integration.
• Ethernet and network communications.
• Touchscreen or embedded GUI development.
• Battery-powered embedded devices.
• Motor control and electromechanical systems.
• Medical, diagnostic, analytical, or regulated instrumentation.
• Design verification and validation.
• Manufacturing test development and production support.
• EMI/EMC troubleshooting and regulatory compliance testing.
• Python scripting and automated data analysis.
• Cloud-connected or IoT devices.
• REST APIs and device-to-cloud communications.

Experience with machine learning, edge AI, computer vision, signal classification, anomaly detection, or deployment of AI/ML models on embedded platforms is a plus but is not required. What We Are Looking For We are looking for an engineer who combines strong embedded systems fundamentals with a practical, forward-looking approach to engineering. The right candidate should be comfortable moving between firmware, hardware, system integration, troubleshooting, testing, and product development rather than working exclusively within a narrowly defined software role. Just as importantly, we want someone who views AI as an engineering productivity tool—not a substitute for engineering judgment. The successful candidate will know how to use emerging technologies to accelerate development while maintaining the discipline, verification, documentation, and technical rigor required to develop reliable commercial products. Compensation Salary $130,000 - 160,000 per year. Benefits include our standard paid time off, subsidized medical and dental insurance, short term disability through Colorado FAMLI program, long term disability and life insurance paid by company, 401k with 50% company matching of up to 3% and vesting schedule.

Pay:

$130,000.00 - $160,000.00 per year

Benefits:

401(k) Dental insurance Flexible spending account Health insurance Health savings account Life insurance Paid time off Vision insurance

Work Location:

In person