Full-Time

Python Developer

Ethernovia

Ethernovia

51-200 employees

Automotive Ethernet system for autonomous safety

No salary listed

Pune, Maharashtra, India

Hybrid

Category
Software Engineering (1)
Required Skills
Python
MySQL
Git
Elasticsearch
Kibana
Data Analysis
Requirements
  • A minimum of 3 years of relevant experience in platform or application development, with a strong emphasis on Python.
  • Solid knowledge of Object-Oriented Programming (Object-Oriented Programming), SOLID principles
  • Experience with data analysis, data visualization, and ability to work with complex data sets.
  • Proficient in working with relational and non-relational databases (e.g., MySQL, ElasticSearch)
  • Familiarity with source control systems (Git, Perforce)
  • Exceptional problem-solving skills and attention to detail, capable of optimizing complex systems.
  • Excellent communication skills, capable of effectively collaborating with team members and engaging with stakeholders.
Responsibilities
  • Write clean, maintainable, and efficient code while following best practices and coding standards.
  • Perform data cleaning, preprocessing, and exploratory data analysis (EDA) to uncover trends and patterns.
  • Implement data visualization solutions using tools like Kibana
  • Troubleshoot and debug applications and utilities to ensure optimal performance and security.
  • Take ownership of assigned tasks, from design to delivery.
  • Participate in code reviews, ensuring adherence to best practices and quality standards.
Desired Qualifications
  • Experience with cloud-based platforms (AWS, Azure, or GCP) is a plus.
  • Familiarity with Agile methodologies
  • GRPC
  • C, C++
  • Familiarity with front-end technologies (HTML5, CSS3, Javascript) is a plus
  • Note:- Candidates with 15-30 days of notice period will be given preference.

Ethernovia builds a complete Ethernet network system for cars. It provides high-bandwidth, unified Ethernet hardware and software that fits into vehicles and follows industry safety standards, so car makers can meet the needs of future autonomous technology. The system is designed to be flexible and scalable, adapting as network requirements evolve, and it includes both the physical components and the software that manage and ensure safe operation. Ethernovia differentiates itself by offering an end-to-end, standards-based solution rather than just parts: a single architecture that combines hardware, software, and safety features, plus long-term services and maintenance for automotive customers. The company’s goal is to enable safe, reliable, and scalable in-vehicle networks that support autonomous driving and other advanced automotive functions.

Company Size

51-200

Company Stage

Series B

Total Funding

$154M

Headquarters

San Jose, California

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $90M Series B on January 20, 2026, led by Maverick Silicon with Porsche SE.
  • Showcased HSB platform at NVIDIA GTC 2026, enabling digital twins via Omniverse.
  • $64M Series A in 2023 from Qualcomm Ventures accelerates automotive customer projects.

What critics are saying

  • NVIDIA Holoscan dependency forces redesigns if platform changes within 12-24 months.
  • Porsche SE and Qualcomm develop competing Ethernet solutions, eroding market share.
  • ISO 26262 ASIL-D certification delays block adoption by 6-18 months.

What makes Ethernovia unique

  • Ethernovia develops packet processors as nervous system for real-time sensor data in autonomous vehicles.
  • ENT11100 PHY supports 10Gbps to 1Gbps over 15m single-pair cabling at lowest power.
  • HSB board integrates Ethernet sensors with NVIDIA Holoscan for ultra-low latency AI.

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Benefits

Flexible Work Hours

Stock Options

Growth & Insights and Company News

Headcount

6 month growth

4%

1 year growth

1%

2 year growth

4%
Telematics Wire
Mar 18th, 2026
Ethernovia unveils high-speed networking board for NVIDIA Holoscan AI platforms.

Ethernovia unveils high-speed networking board for NVIDIA Holoscan AI platforms. 2 minutes read 18th March 2026 Ethernovia has introduced a new high-performance networking board designed to work seamlessly with NVIDIA's Holoscan platforms, marking a significant advancement in real-time AI data processing. The newly launched HSB-enabled (Holoscan Sensor Bridge) platform is built to handle massive volumes of sensor data with ultra-low latency, enabling faster and more efficient edge AI operations. The solution leverages Ethernet-based connectivity to transport high-bandwidth data from multiple sensors directly into GPU memory, allowing real-time perception, decision-making, and control in complex systems. The platform was showcased at NVIDIA's GTC 2026 conference, where Ethernovia demonstrated how its technology can simplify system architecture while improving performance. By using a unified Ethernet backbone, the board ensures synchronized data flow from sensors such as cameras, radars, and lidar critical for applications like autonomous vehicles, robotics, industrial automation, and medical imaging. A key highlight of the new system is its ability to connect real-world sensor data with digital simulation environments. The platform integrates with NVIDIA Omniverse libraries, enabling developers to create digital twins and run real-time simulations using live or recorded data. This allows faster validation of AI models, improved testing of perception systems, and shorter development cycles. Additionally, the solution supports a scalable, software-defined architecture that reduces complexity and enhances flexibility for developers building next-generation "physical AI" systems. By enabling seamless data streaming, simulation, and AI model refinement within a single pipeline, Ethernovia aims to accelerate the deployment of intelligent machines across industries. Overall, this development reflects a growing industry focus on high-speed data infrastructure as the backbone of autonomous and AI-driven systems. As applications demand faster processing and real-time responsiveness, solutions like Ethernovia's HSB networking platform are expected to play a crucial role in advancing edge AI and next-generation mobility technologies. The new networking solution from Ethernovia for NVIDIA Holoscan platforms brings several important benefits, especially for AI-driven and autonomous systems: Key benefits (short and clear): * Faster data processing: Handles huge sensor data (camera, radar, lidar) in real time with very low delay * Better system performance: Direct data transfer to GPU improves AI decision-making speed * Simplified architecture: Uses a single Ethernet-based system instead of complex wiring * Improved accuracy: Synchronized sensor data leads to better perception in autonomous systems * Supports real-time simulation: Enables digital twins and faster AI model testing * Scalable solution: Easy to expand for different use cases like vehicles, robotics, and healthcare Post Views: 108

Tech in Asia
Jan 21st, 2026
Porsche, Qualcomm join $90m series B for chip startup Ethernovia

Porsche, Qualcomm join $90m series B for chip startup ethernovia. Ethernovia, a Silicon Valley-based semiconductor startup, has closed a series B funding round exceeding US$90 million, led by Maverick Silicon and including Socratic Partners, Conduit Capital, and CDIB-TEN Capital. Existing investors such as Porsche SE, Qualcomm Ventures, and Fall Line Capital also participated. The company develops Ethernet-based packet processors designed to support real-time sensor, AI, and control data for autonomous vehicles, robots, and intelligent machines. The new funding will be used to accelerate product development, expand software capabilities, and support customer projects across automotive, robotics, and industrial markets. How would you feel if you could no longer use Tech in Asia?

FinSMEs
Jan 20th, 2026
Ethernovia Raises Over $90M in Series B Funding

Ethernovia raises over $90M in Series B funding. Ethernovia, a San Jose, CA-based semiconductor startup building Ethernet-based, packet processor-centric networking solutions, raised over $90M in Series B funding. The round was led by Maverick Silicon with participation from Socratic Partners, Conduit Capital, CDIB-TEN Capital, Porsche SE, Qualcomm Ventures and Fall Line Capital. The company intends to use the funds to accelerate development and production of its new packet processor family, expand its software and systems capabilities, and support customer engagements across automotive, robotics and industrial markets. Led by CEO Ramin Shirani, Ethernovia develops automotive and edge packet processors designed to serve new physical AI systems. Designed to handle massive volumes of real-time sensor and AI traffic, its platform enables a unified Ethernet-based architecture that can deterministically move, process, and orchestrate data at the edge, delivering connectivity and capabilities including reliable autonomy, over-the-air services, and AI-powered applications.

SiliconANGLE Media
Jan 20th, 2026
Ethernovia raises more than $90M to advance Ethernet packet processors for automotive and edge AI

Ethernovia raises more than $90M to advance Ethernet packet processors for automotive and edge AI. Semiconductor startup Ethernovia Inc. revealed today that it has raised more than $90 million in new funding to accelerate development and production of its next-generation packet processor family, expand software and systems capabilities, and support customer engagements across automotive, robotics and industrial markets. Founded in 2018, Ethernovia is focused on transforming how data moves within complex systems like vehicles and intelligent machines. The company was built to tackle the limitations of traditional in-vehicle networks. They can struggle with the massive volumes of high-bandwidth sensor, vision and artificial intelligence data required by modern autonomous and software-defined systems. Ethernovia designs and develops advanced packet processors and Ethernet networking chips that act as the "nervous system" of vehicles and edge devices. It says they intelligently aggregate, route and manage data streams from cameras, radar, LiDAR, control units and AI accelerators. The platform is built to handle increasingly complex workloads while maintaining low latency and high reliability. The company's product lineup includes high-performance Ethernet physical layer transceivers and scalable packet processors that support multigigabit speeds across single-pair automotive cabling. The semiconductor solutions provide the physical connectivity and data transport capabilities needed for next-generation automotive applications such as advanced driver assistance systems, centralized vehicle computing and over-the-air software updates. Ethernovia also builds products for software-defined vehicles and edge AI workloads that meet the need for flexible, programmable networking. The company's packet processors and network infrastructure allow original equipment manufacturers and system developers to deploy platforms that can be updated and reconfigured throughout the life of the product while meeting safety-critical performance standards. "The industry is entering the era of physical AI where intelligence must sense, reason and act in the real world with predictable, real-time performance," said co-founder and Chief Executive Ramin Shirani. "Legacy in-vehicle and industrial networks were never designed for AI-driven workloads. However, our packet processor platform is purpose-built to eliminate these constraints, enabling zonal and centralized architectures that scale autonomy and dramatically simplify vehicle system design." The Series B round was led by Maverick Silicon with Socratic Partners also participating. "As autonomous systems become more complex, latency, power efficiency and architectural flexibility are no longer optional - they are essential," said Kenneth Safar, managing director of Maverick Silicon. "Ethernovia has fundamentally reimagined the nervous system of intelligent machines with its packet processing platform, solving a critical networking bottleneck in automotive, robotics and industrial AI." Prior to the new funding announced today, Ethernovia had raised a single round of $64 million in May 2023, according to data from Tracxn. Investors in that round included Porsche SE, Qualcomm Ventures, VentureTech Alliance, Advanced Micro Devices Inc., Western Digital Corp., Fall Line Capital Management, Taiwania Capital Management Corp. and Enea AB. Image: Ethernovia. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network. SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

Tech Funding News
Jan 20th, 2026
Ethernovia raises $90M to build networking chips for AI-powered robots and autonomous vehicles

Ethernovia, a Silicon Valley startup building Ethernet-based networking chips for autonomous systems, has raised over $90 million in Series B funding led by Maverick Silicon and Socratic Partners. Existing backers Porsche SE, Qualcomm Ventures and Fall Line Capital participated, alongside new investors Conduit Capital and CDIB-TEN Capital. Founded by Ramin Shirani, previously at Aquantia, Ethernovia develops packet-processing platforms that handle high-bandwidth sensor data for AI systems in vehicles, robots and industrial machines. The company's chips feature deterministic Ethernet architecture and programmable data paths designed to eliminate latency bottlenecks. The funding will support scaling production of next-generation processors as Ethernovia transitions from development to commercial deployment. The company maintains engineering teams across Europe, China, Australia and India, with nearly 90% of staff in technical roles.