Sr Software Engineer

Advanced Energy (Nasdaq: AEIS) is a global leader in the design and manufacturing of highly engineered, precision power conversion, measurement and control solutions for mission-critical applications and processes. AE’s power solutions enable customer innovation in complex applications across industries including semiconductor equipment, industrial manufacturing, telecommunications, data center computing, and healthcare. Headquartered in Denver, Colorado, Advanced Energy has devoted four decades to perfecting power for its global customers.

About the Role

Advanced Energy’s RF Delivery Systems (RFDS) team is seeking a DevOps Engineer III to support and continuously improve the development, build, test, release, and automation infrastructure used by embedded firmware teams developing software controls for RF Generator Systems in Plasma Power applications.

This role collaborates closely with Embedded Firmware, Systems, Electrical, FPGA/Logic, Test, IT, and Product Development teams to enhance firmware development operations, regression testing, database-backed workflows, CI/CD pipelines, build automation, release traceability, and AI/ML-enabled automation. The ideal candidate will take ownership of tools, workflows, and automation improvements with strong technical judgment and increasing design independence, helping teams ship firmware faster with better quality, stronger traceability, and reduced manual effort.

Responsibilities

• Own and support defined tools, processes, and automation infrastructure used across the embedded firmware development lifecycle.
• Develop and maintain CI/CD pipelines for firmware builds, unit/integration/regression tests, static analysis, documentation generation, and release artifacts.
• Take ownership of build environments, dependency management, toolchain and compiler integration, artifact storage, and automated release workflows.
• Design and maintain automation scripts and internal tools (Python, shell, or similar) to reduce repetitive engineering tasks.
• Support automated regression test frameworks, including test execution, result capture, reporting, failure triage, and trend analysis.
• Develop, maintain, and own database-backed tools for managing test results, build metadata, release history, engineering metrics, configuration data, and traceability records.
• Apply data analysis, machine learning, and AI-assisted tooling to identify recurring failures and trends, improving workflow efficiency, troubleshooting, and engineering decision support.
• Own dashboards, reports, and metrics for build health, regression status, release readiness, defect trends, and automation effectiveness, ensuring they remain useful and actionable for engineering decisions.
• Support integration across engineering tools such as Git, Jira, Confluence, CI/CD systems, artifact repositories, test frameworks, and databases.
• Participate in design and code reviews and process improvement; independently troubleshoot build, test, lab, database, automation, and integration issues within owned areas; and document DevOps workflows, schemas, and release procedures.
• Develop task estimates, contribute to Agile project planning, and take ownership of assigned firmware automation, regression testing, and AI-assisted improvement tasks through completion.
• Some travel within the U.S. and to international sites may be required.

Work Environment

• Location: Onsite in Fort Collins, CO
• Environment: Production and calibration laboratory setting with some office work

Requirements

• Experience supporting embedded firmware teams, embedded C/C++ build systems, or hardware-adjacent software development environments.
• Familiarity with embedded concepts such as RTOS-based systems, embedded processors, device drivers, peripherals, bootloaders, hardware abstraction layers, or board-support packages.
• Experience with build tools (CMake, Ninja, GNU Make, GCC/G++) and automated test frameworks (pytest, Robot Framework, GoogleTest, CTest, or similar).
• Experience developing automated regression frameworks, test harnesses, hardware-in-the-loop (HIL), bench automation, instrument control, or lab-based test automation.
• Experience developing dashboards or reporting workflows for build status, test results, defect trends, or engineering metrics.
• Experience with artifact repositories, package management, containerization (Docker or similar), or reproducible/virtualized build environments.
• Familiarity with cybersecurity and secure development practices, including vulnerability management, software supply chain security, secure CI/CD pipelines, and security-focused validation of firmware and software releases.
• Experience integrating AI tools such as Microsoft Copilot or GitHub Copilot into software engineering workflows and engineering automation solutions.
• Familiarity with secure development practices, release traceability, software configuration management, reproducible builds, and audit-ready engineering documentation.
• Experience in industrial, semiconductor, plasma/RF power, medical, aerospace, automotive, or other high-reliability product development environments.
• Experience with source control (Git) and collaboration tools such as Jira and Confluence.
• Experience developing automation scripts or engineering tools using Python, Bash, PowerShell, or similar languages.
• Experience with CI/CD concepts and tools to automate software builds, test execution, packaging, deployment, release artifact generation, and quality-gated workflows.
• Experience with automated build systems, dependency management, configuration practices, software versioning, and release management; embedded firmware build environments and cross-compilation toolchains strongly preferred.
• Working knowledge of databases, including schema design, query development, validation, reporting, and integration into engineering workflows; SQL preferred.
• Ability to independently troubleshoot toolchain, build, test, database, automation, infrastructure, and integration issues across multiple engineering systems, drive issues to closure within owned areas, and escalate appropriately when scope or risk requires broader support.
• Experience using data analysis to identify trends and recommend improvements to engineering workflows and test processes.
• Familiarity with machine learning, AI-assisted development, or intelligent automation applied to test analysis, workflow automation, or engineering productivity.
• Working knowledge of Linux and/or Windows development environments, including build, automation, and CI infrastructure.
• Strong verbal and written communication skills; ability to work independently, own assigned deliverables, and collaborate effectively across engineering disciplines.

Qualifications

Bachelor’s degree in Computer Science, Software, Electrical, Systems, or Data Engineering, or a related technical discipline, and at least 5 years of related experience in DevOps, software engineering, test automation, embedded software development support, or database-backed engineering tools. A Master’s degree with at least 3 years of related experience is also acceptable.

Pay

The range of starting pay for this role is $100,000 - $140,000 per year, influenced by factors such as skill set, level of experience, and specific office location.

Benefits

• Medical: Multiple medical plans available to choose from
• Short- and long-term disability and life insurance
• Health savings and flexible spending accounts
• Generous time off policy: 3 weeks of paid vacation, 7 days of paid sick time, and 12 paid holidays
• 8 hours of paid volunteer time off
• 8 weeks of paid parental leave for both Moms and Dads
• Company-matched 401(k)
• Tuition reimbursement
• Expanded mental health coverage and employee assistance programs
• Other voluntary benefits: Critical illness, accident and hospital indemnity, pet insurance, identity theft, and legal assistance