Ethernovia, Inc.

Automotive

AE-ProtocolDeveloper

$450–750k ~AI est. Shanghai, China; Shenzhen, China
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“AE-Protocol Developer at Ethernovia, Inc.. Skills: gPTP protocol stack, Automotive Ethernet, Embedded C, ASPICE. Provide pre/post-sales technical support. Port drivers”

Industry & Context.

Automotive
Problems you'll solve

Debugging; Troubleshooting; Root cause analysis

What They're Looking For.

Must Have

5+ years embedded software development, Hands-on IEEE 802.1AS/1588 implementation, ASPICE-compliant software development, MISRA C:2012 compliant programming, ARM Cortex-R/M architecture knowledge, RTOS experience on ARM, TSN protocols knowledge, Ethernet Layer 2 knowledge, AVTP knowledge, Static analysis tools experience, CI/CD pipelines experience, Git workflows experience

Nice to Have

Master's degree preferred

What You'll Do.

Provide pre/post-sales technical support

Develop customized SW

Debug embedded Linux/RTOS drivers

Support customer middleware integration

Deliver product demonstrations

Conduct technical workshops

Design gPTP protocol stack

Develop gPTP protocol stack

Maintain gPTP protocol stack

Implement timing synchronization architecture

Develop path delay measurement

Develop neighbor rate ratio computation

Optimize gPTP performance

Implement gPTP diagnostics

Implement gPTP monitoring

Analyze customer requirements

Develop POC demonstrations

Build rapid prototypes

Build reference implementations

Design POC test plans

Execute POC test plans

Customize protocol configurations

Customize network topologies

Support customer POC evaluation

Provide technical guidance

Follow ASPICE Level 2 process

Create traceability matrices

Maintain traceability matrices

Participate in ASPICE assessments

Participate in process improvement

Write embedded C code

Perform static analysis

How You'll Work.

Team & Collaboration

FAE team support; RD team support; OEM/Tier-1 support; Cross-functional teams

Communication Scope

Product demonstrations; Technical workshops

Process & Methodology

ASPICE Level 2

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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