Data and Automation Engineer - Software Testing

Inside the Role

As a Senior Software Test Engineer, you will play a key role in advancing software test capabilities for complex vehicle and platform systems. You will design, implement, and maintain scalable test workflows and automation solutions that improve test coverage, efficiency, and insight across the software development lifecycle. This role emphasizes system-level thinking, software-driven test orchestration, and close collaboration with feature, system, and platform teams to enable high-quality software delivery.
This position operates within the Software Verification and Release organization and supports global vehicle platforms and programs.

Posting Information

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.

We Take Care of Our Team

Position offers a starting salary range of $117,000.00 - $150,000.00 USD  

Pay offered dependent on knowledge, skills, and experience​  

  

Benefits include annual bonus program; 401k company contribution with company match up to 6% as well as non-elective company contribution of 3 - 7% depending on age; starting at 4 weeks paid vacation; 13+ calendar holidays; 8 weeks paid parental leave; employee assistance program; comprehensive healthcare plans and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-term and long-term disability plans.  

What You Drive at DTNA  

• Design, develop, and maintain software-driven test workflows supporting system, integration, and regression testing

• Develop intelligent test orchestration and automation frameworks that improve execution efficiency, diagnostics, and failure analysis

• Collaborate with feature owners, system engineers, and test infrastructure teams to translate requirements into robust, repeatable test solutions

• Enable data-driven test execution, including automated result evaluation, trend analysis, and actionable reporting

• Support continuous improvement of test environments such as HiL, SiL, virtual validation, and lab-based systems

• Troubleshoot complex software and system-level issues using structured root cause analysis

• Contribute to test strategy definition, including test concepts, coverage models, and quality metrics

• Mentor and provide technical guidance to junior engineers and peers

• Drive small to mid-sized technical initiatives independently, coordinating across multiple stakeholders

Knowledge You Should Bring

• Bachelor’s degree in Electrical Engineering, Software Engineering, Computer Engineering, Computer Science, or related field and 5–8 years of relevant experience in software testing, system integration, or test automation, is required.

• Strong programming or scripting experience (e.g., Python, C/C++, or similar) applied to test development and automation

• Experience designing modular, maintainable software components for test frameworks or tooling

• Understanding of software development lifecycles and how testing integrates across development phases

• Familiarity with vehicle networks and distributed systems (e.g., CAN, Automotive Ethernet, diagnostics)

• Experience working with test environments such as HiL, SiL, virtual platforms, or lab-based systems

• Strong analytical and problem-solving skills with the ability to debug complex system interactions

• Demonstrated ability to work independently, manage multiple priorities, and communicate effectively across teams

• Strong collaboration skills across engineering, validation, and platform teams

• Clear and structured communication of technical topics to diverse audiences

• Self-motivated, with a continuous improvement mindset

• Comfortable operating in environments with evolving requirements and technical ambiguity

• An attached resume is required

Exceptional Candidates Might Have  

• Experience with large-scale or distributed test execution environments

• Exposure to model-based testing, simulation, or virtual validation workflows

• Experience improvi