Software Validation Engineer (Python)

Ethernovia's co-founders are serial technology entrepreneurs with multiple prior successful ventures together. We are well-funded and backed by some of the worlds’ leading technology investors, having secured $154M ($90+M Series-B and $64M Series-A) in total funding to date:

• Ethernovia Raises Over $90 Million Series B to Scale Leading-Edge Autonomy and Physical AI Networking Chips
• Ethernovia Raises $64 Million to Accelerate the Revolution of Vehicle Networks | Business Wire
• (financial backers include: Porsche SE, Qualcomm, AMD, Western Digital, Maverick Silicon, Socratic Partners, Conduit Capital, and CDIB-TEN Capital)

Join Ethernovia’s team to make a lasting impact on the future of packet processor-centric networking solutions to support the real-time sensor, Physical AI, and control data demands of software-defined autonomy across vehicles, robots and intelligent machines. Come share in our success with pre-IPO shares, competitive compensation, and great benefits while growing your knowledge and career with world class talent. We are looking for talented engineers and leaders who have an entrepreneurial spirit and want to drive cutting edge designs from concept to silicon to the future of mobility.

Job Description: Software Validation Engineer (Python)

Experience required: 5-10 years

Position Overview

We are seeking a highly skilled Embedded Software Validation Engineer to design, build, and maintain our advanced automated testing frameworks and validation infrastructure. In this role, you will bridge the gap between software engineering, embedded protocols, and AI infrastructure. You will be responsible for ensuring the reliability, safety, and performance of our embedded systems using Python, Hardware-in-the-Loop (HIL) testing, and robust CI/CD pipelines.

Key Responsibilities

Automation & Software Engineering: Design, develop, and maintain clean, scalable, and highly testable automated validation frameworks using Python. Implement Object-Oriented Programming (OOP) design patterns, multithreading, and asynchronous programming to optimize test execution.

Embedded & Network Validation: Interface Python test scripts with physical and simulated microcontrollers using HIL testing methodologies. Validate networking protocols and analyze traffic down to the frame level.

AI Infrastructure Support: Assist in building and maintaining the scalable underlying infrastructure required to train, validate, and test Machine Learning (ML) models at scale.

CI/CD & DevOps Integration: Own, script, and maintain robust CI/CD pipelines in Jenkins to ensure continuous integration and automated test execution. Utilize Docker for environment containerization.

Collaboration & Documentation: Work closely with development and architecture teams to define test strategies, author detailed technical documentation, and contribute to architectural design specifications.

Role Requirements

1. Programming & Software Engineering

Strong proficiency in Python and its core libraries, with demonstrable experience in asynchronous programming, multithreading, and OOP design patterns.

Proven track record of writing clean, maintainable, and robust test code.

2. Networking & Embedded Protocols

Solid foundational knowledge of networking concepts, including Ethernet frame structures, VLAN tagging, routing, and switching.

Hands-on experience with industrial or automotive embedded protocols such as CAN (Controller Area Network) or Modbus (RTU/TCP).

Experience with Hardware-in-the-Loop (HIL) testing environments or interfacing software with physical/simulated microcontrollers.

3. AI & Infrastructure (Statistical Learning Theory)

Basic understanding of AI/ML concepts, specifically regression models and predictive analytics.

Familiarity with Statistical Learning Theory (SLT) concepts or experience building infrastructure for ML model training, validation, and testing.

4. DevOps & CI/CD

Strong experience setting up, maintaining, and scripting automated pipelines in Jenkins.

Proficient with version control systems (Git) and containerization (Docker).

Preferred Qualifications (Nice to Have)

Hands-on experience with specialized Python libraries: python-can, pymodbus, scapy, numpy, or scikit-learn.

Professional background in the Automotive (e.g., Autonomous Driving, EV) or Industrial Automation sectors.

Solid knowledge of Linux system administration and shell scripting (Bash).

Soft Skills

Self-Motivation: Highly self-motivated and capable of thriving both independently and within a collaborative team environment.

Communication: Excellent verbal/written communication and documentation skills, comfortable contributing to high-level architectural discussions.

Attention to Detail: Meticulous attention to detail, particularly when dealing with complex system architectures and safety-critical implementations.

What We Offer

Pre-IPO Stock Options: Own a piece of our future success as we scale toward our public offering.

Technology Depth & Breadth: Unparalleled opportunities for technological growth and hands-on exposure across embedded, networking, and AI domains that are rare in larger organizations.

Rapid Career Growth: Significant, merit-based opportunities to advance your career as our company expands.

Cutting-Edge Tech Stack: Work with the latest advancements in networking, embedded systems, and predictive analytics.

World-Class Team: Collaborate daily with highly skilled, passionate, and supportive industry professionals.

Competitive Compensation: A strong base salary package that truly reflects your expertise and contributions.

Work Flexibility: Enjoy flexible working hours to maintain a healthy work-life balance.