Aeva

4D LiDAR sensors with velocity detection

Staff Software Infrastructure Test Architect

Test Automation EngineeringConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

A Bachelor of Science degree in Computer Science or Electrical Engineering is required.
Eight to twelve years of experience in software testing of embedded devices is required, preferably in the automotive industry.
Expert proficiency in Python and C++ programming and relevant test-automation libraries and frameworks is required.
Prior experience architecting test frameworks is required.
Proficiency developing test cases with Docker and Kubernetes is required.
Practical knowledge of verification and validation using testbeds and simulators, including hardware-in-the-loop and software-in-the-loop test environments, is required.
Knowledge of embedded-device testing, REST APIs, user-interface testing, Selenium or Playwright, Embedded Linux, Docker, SSH, shell scripting, Linux services, and computer networks is required.
Experience with continuous integration and continuous deployment practices using Jenkins, Jira, and Bitbucket is required.
Experience with Agile methodologies, sprint-based test-case development, system testing, and integration testing is required.
Ability to analyze complex technical issues and break them down into simple sprint stories is required.
Ability to mentor and guide junior engineers in resolving daily development challenges is required.
Ability to work in a fast-paced, dynamic environment while managing multiple priorities and projects is required.

Responsibilities

Drive the architecture and development of software infrastructure used to test LiDAR firmware, perception software, and associated artifacts.
Drive strategic technology management and future software solutions architecture that meets automotive compliance requirements.
Architect, design, and develop a robust, scalable Python-based test-automation framework for fully automated embedded-device testing.
Develop automation features that provide end-to-end test coverage for all software and system components.
Provide traceable mapping from requirements to test cases to defect tracking.
Mentor a team of engineers developing test cases and following standard coding practices.
Drive code reviews to ensure consistent coding standards across team members.
Develop, implement, and optimize functional, regression, performance, and security test strategies and plans for automotive software.
Collaborate with Firmware, digital signal processing algorithms, and Quality Assurance teams to define test requirements and review product specifications.
Collaborate with product owners, architects, and other stakeholders to understand business requirements and plan quality-assurance strategies.
Break down complex technical issues into simple sprint stories when planning test-case development.

Desired Qualifications

Knowledge of automotive testing standards and frameworks, including ISO 26262, AUTOSAR, and ASPICE.
Understanding of automotive software systems, including embedded systems, advanced driver-assistance systems, infotainment, or electric-vehicle control software.
Experience with JAMA or equivalent requirements-management software.
Experience with JIRA for defect tracking and familiarity with Agile methodologies.

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.

About the Company

Aeva

4D LiDAR sensors with velocity detection

Aeva designs and sells perception sensors, focusing on 4D LiDAR that measures both the velocity and 3D position of objects. The sensors are built by integrating all core LiDAR components onto a silicon photonics chip, creating a compact, efficient module. This technology is applied across automated driving, industrial robotics, consumer electronics, consumer health, and security to improve safety, efficiency, and functionality of autonomous systems. Unlike many competitors that offer traditional 3D sensing, Aeva’s 4D capability provides richer environmental data that helps autonomous systems detect motion and position at once. The company’s business model centers on developing, producing, and selling these sensors to businesses, potentially partnering with other firms to integrate the tech into a wider range of products. Aeva’s goal is to advance autonomous capabilities by delivering practical, scalable sensing solutions that enhance perception and safety across multiple industries.

Company size: 201-500
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 2017

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