Ethernovia, Inc.

Automotive

EmbeddedPythonDeveloper

₹22–35L ~AI est. Pune, Maharashtra, India
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Embedded Python Developer at Ethernovia, Inc.. Skills: Embedded Python, Automated testing, HIL testing, CI/CD. Design automated validation frameworks. Develop automated validation frameworks”

Industry & Context.

Automotive
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

5-10 years experience, Proficiency in Python, Asynchronous programming experience, Multithreading experience, OOP design patterns experience, Networking concepts knowledge, Ethernet frame structures knowledge, VLAN tagging knowledge, Routing knowledge, Switching knowledge, Industrial embedded protocols experience, Automotive embedded protocols experience, CAN experience, Modbus experience, HIL testing experience, CI/CD pipelines experience, Jenkins experience, Git experience, Docker experience, Basic AI/ML concepts understanding, Regression models understanding, Predictive analytics understanding, Statistical Learning Theory understanding

Nice to Have

python-can library experience, pymodbus library experience, scapy library experience, numpy library experience, scikit-learn library experience, Automotive sector experience, Autonomous Driving experience, EV experience, Industrial Automation experience, Linux system administration knowledge, Bash scripting knowledge

What You'll Do.

Design automated validation frameworks

Develop automated validation frameworks

Maintain automated validation frameworks

Implement OOP design patterns

Implement multithreading

Implement asynchronous programming

Interface Python test scripts

Validate networking protocols

Build AI infrastructure

Maintain AI infrastructure

Script CI/CD pipelines

Maintain CI/CD pipelines

Define test strategies

Author technical documentation

Contribute to architectural design

How You'll Work.

Team & Collaboration

Development teams; Architecture teams

Communication Scope

Technical documentation; Architectural discussions

Process & Methodology

Agile

Full Job Description

About Ethernovia, Inc. Ethernovia is developing the future of Ethernet-based networks to realize the full potential of software-defined and autonomous vehicles, robotics and other intelligent machines. Founded in 2018, the company’s breakthrough data transport and acceleration technology is ushering in a new era of connectivity and capabilities in the vehicle and at the edge, including highly reliable autonomy, over-the-air servicing and AI-backed applications. 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) Ethernovia has been recognized in EE Times' prestigious list of the Top 100 Startups for 2025. March 2026: Ethernovia Announces HSB-Enabled Networking Board for NVIDIA Holoscan Platforms January 2024: Our CEO Ramin Shirani Named MotorTrend Software-Defined Vehicle Innovator Awards Winner (ethernovia.com) September 2023: Continental and Ethernovia Announce Partnership to Develop Automotive Switch in 7nm
 - Ethernovia Connected Car News: Helios, Continental, Ethernovia, Avanci, BMW, Mapbox, Porsche, SEMA, Honda, UltraSense, Flex Logix, Diodes Inc., Garmin, Toyota & Caruso | auto connected car news With talented employees on 4 continents, we have filed 50+ patents to date. 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,

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