Design and lead development of a scalable Python-based test automation framework for embedded LiDAR systems, define test strategies (functional, regression, performance, security), mentor engineers, integrate HIL/SIL and CI/CD pipelines, and collaborate with firmware, DSP, and QA teams to ensure requirements traceability and automotive compliance.
About us:
Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond. Aeva is transforming autonomy with its groundbreaking sensing and perception technology that integrates all key LiDAR components onto a silicon photonics chip in a compact module. Aeva 4D LiDAR sensors uniquely detect instant velocity in addition to 3D position, allowing autonomous devices like vehicles and robots to make more intelligent and safe decisions.
Role Overview:
You will drive the architecture and development of software infrastructure used for testing LiDAR firmware, perception software and associated artifacts. You will also drive strategic technology management and future software solutions architecture that meets automotive compliance requirements.
What you'll do
- Architect, design, and develop a robust and scalable Python based test automation framework for performing fully automated tests for embedded devices and providing traceable matrix for requirements to test-case to defect tracking. Develop automation features that allow end-to-end test coverage for all software and system components.
- Mentor a team of skilled engineers dedicated to developing test cases, following standard coding practices. Drive code reviews to ensure consistent coding standards across all team members.
- Develop, implement, and optimize test strategies and plans for automotive software, including functional, regression, performance, and security testing.
- Collaborate with cross-functional teams (Firmware, digital signal processing algorithms, and Quality Assurance) to define test requirements and review product specifications.
- Collaborating with the product owners, architects and other stakeholders to understand the business requirements and plan the quality assurance strategies accordingly.
What you'll have
- BS in Computer Science, Electrical Engineering, or a related technical field.
- 8 - 12 years of experience in software testing of embedded devices, preferably in the automotive industry.
- Expert proficiency in Python and C++ programming and relevant libraries/frameworks for test automation.
- Prior experience architecting test frameworks.
- Proficiency in test-case development with docker/Kubernetes.
- Practical knowledge of verification and validation means using testbeds and simulators as well as experience with hardware in the loop (HIL) and software in the loop (SIL) test environments.
- Knowledge of Embedded device testing, REST APIs, UI testing, Selenium/Playwright, Embedded Linux, Docker, SSH, Shell scripting, Linux services, Computer networks.
- Experience with continuous integration and deployment (CI/CD) practices using Jenkins, Jira, Bitbucket, Agile methodologies, following sprint cycle for test-case development, system and integration testing.
- Excellent problem-solving skills, with the ability to analyze complex technical issues and break down into simple sprint stories.
- You have a problem-solving mindset and, able to mentor and guide juniors in solving daily development challenges.
- Proven ability to work in a fast-paced and dynamic environment, managing multiple priorities and projects simultaneously.
What's in it for you
- Knowledge of automotive testing standards and frameworks, such as ISO 26262, AUTOSAR, ASPICE, etc.
- Understanding of automotive software systems, including embedded systems, ADAS, infotainment, or electric vehicle control software.
- Experience with JAMA for requirements management software (or equivalent).
- Experience with JIRA for defect tracking and familiar with Agile methodologies.
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