Associate Engineer - Edge AI

APTIV INDIA; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Job summary

Wind River Bengaluru is hiring for an embedded software engineer to build and sustain an AI-oriented edge platform running on diverse devices. You will implement components for a containerless/OCI-based packaging system, work on on-device orchestration, and support OTA updates.

Ideal candidates have 1–3 years of software experience, proficiency in Rust or Python (and willingness to learn the other), Linux and Git workflows, plus exposure to embedded Linux and multi-architecture builds.

Qualifications

• Degree in Computer Science, Machine Learning, or a related field (or equivalent practical experience).
• 1 to 3 years of professional software engineering experience.
• Working proficiency in Rust or Python, and willingness to learn the other; C/C++ exposure is a plus.
• Linux proficiency and Git-based workflows.
• Experience with embedded Linux and systematic debugging instincts.

Responsibilities

• Implement and test components of edge packaging and runtime system (OCI-based shipping to devices).
• Contribute to on-device orchestration platform and OTA update lifecycle management.
• Measure and improve inference and resource usage on constrained hardware.
• Work on cross-compilation and CI/CD pipelines for multi-architecture builds.
• Help integrate device fleet with cloud control plane and backend services (REST/gRPC, OpenAPI, MQTT).
• Reproduce, diagnose, and fix defects on real hardware; convert learnings into tests.
• Use agentic AI coding tools daily for implementation, refactoring, and review.

Skills

Rust or Python

Linux proficiency

Git-based workflows

Agentic AI tools usage

Cross-functional collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

CI/CD pipelines

REST/gRPC

OpenAPI

MQTT

Job description

ABOUT WIND RIVER

Wind River is a global leader in delivering software for mission‑critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability.

Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company's software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We've achieved recent 5G milestones including the world's first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone.

The company has received industry recognition for its technology innovation and leadership, and for its workplace culture, including global Great Place to Work certification and being named a "Top Workplace" for ten consecutive years. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer-focus, and diversity, equity, inclusion & belonging, come join us and help advance the future software defined world.

About the Role

You will help build and sustain the platform alongside Windriver team that runs AI Systems on the device - a Rust-based system that manages AI application lifecycles across a heterogeneous fleet of edge hardware. This is a hands‑on role on hard systems problems: constrained compute, cross‑architecture builds, OTA updates, and production‑grade observability. You will start with well‑scoped pieces of the platform, with mentoring and code review from senior engineers, and grow into larger areas of ownership. We expect you to make AI tooling a core part of how you work from day one.

What You'll Do

• Implement and test components of the edge packaging and runtime system - a containerless / OCI-based approach to shipping AI Systems to heterogeneous devices
• Contribute to the on‑device orchestration platform and help support OTA update and lifecycle management for fielded devices
• Measure and improve inference and resource usage on constrained CPU/GPU/NPU hardware
• Work on cross‑compilation and CI/CD pipelines for reproducible, secure multi‑architecture builds
• Help integrate the device fleet with the cloud control plane and backend services (REST/gRPC, OpenAPI, MQTT)
• Reproduce, diagnose, and fix defects on real hardware, and turn what you learn into tests
• Use agentic AI coding tools daily for implementation, refactoring, review, and debugging - and build real judgment about where they help and where they don't
• Take part in the team's AI‑assisted engineering practice: working patterns, guardrails, and what stays human‑owned.
• Keep the codebase and its documentation in a state that people can work in effectively.

Mandatory Experience:

• Degree in Computer Science, Machine Learning, or a related field (or equivalent practical experience), and 1 to 3 years of professional software engineering experience.
• Working proficiency in Rust or Python , and willingness to learn the other (C/C++ exposure is a plus)
• Hands‑on experience using agentic AI tools in the software development workflow - AI coding assistants and agents for implementation, refactoring, and review - and an emerging point of view on their limits.
• Comfortable on Linux and with Git‑based workflows
• Experience with embedded Linux
• Systematic debugging instincts: you narrow problems down rather than guess
• Clear written communication and the ability to work with a team distributed across the NA, Europe, and India
• Genuine curiosity about the full stack - cloud, edge, and web/backend - and about how the networking stack works.

Nice to have:

• Exposure to embedded Linux or systems programming
• ML frameworks or inference runtimes (PyTorch, ONNX, TensorRT, TFLite, OpenVINO) and the realities of running models on device
• NPU/GPU hardware such as Jetson, Qualcomm, Hailo, or Ambarella
• GenAI/LLM tooling or RAG pipelines; multi‑arch builds; a major cloud provider (AWS, GCP, Azure); GitLab CI.

WHY JOIN US?

In a world increasingly driven by software innovation, Wind River is pioneering the technologies that accelerate the digital transformation of our customers with a new generation of mission‑critical AI systems‑built for an AI‑first world with the most exacting safety, security, performance, and reliability standards. Our success depends on our ability to innovate with velocity and deliver solutions that help customers solve their toughest challenges.

Wind River is a global leader in mission‑critical intelligent systems. For more than four decades, we have been an innovator and pioneer, powering billions of systems that demand the highest levels of security, safety, and reliab