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Senior Engineer - Cloud & Edge AI Platforms

Reposted 6 Days Ago
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In-Office
Boston, MA, USA
Senior level
In-Office
Boston, MA, USA
Senior level
Design and implement core components of a cloud-to-edge AI platform. Optimize performance, mentor engineers, and collaborate on architecture within mission-critical systems.
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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

We are looking for a Senior Engineer to play a key technical leadership role in designing and advancing Wind River’s next‑generation intelligent systems platform. This position is ideal for an engineer who thrives at the intersection of cloud‑native infrastructure, edge computing, and AI/ML systems—and who wants to shape the architecture and implementation of distributed AI platforms used in mission‑critical environments.

What You’ll Do

Architecture & Platform Development

  • Design and implement core components of Wind River’s cloud‑to‑edge AI platform, including orchestration layers, data pipelines, and model lifecycle management.
  • Develop scalable, modular, and secure software architectures for distributed AI workloads across heterogeneous edge environments.
  • Build cloud‑native services and APIs that integrate seamlessly with Wind River Studio and edge operating systems (VxWorks, Linux).
  • Contribute to architectural decisions involving microservices, containerization, service mesh, and hybrid cloud deployments.

AI/ML Infrastructure & Optimization

  • Implement systems for model deployment, versioning, CI/CD for AI, and real‑time inference pipelines.
  • Integrate AI frameworks (TensorFlow, PyTorch, ONNX Runtime, TensorRT) into cloud‑edge workflows.
  • Optimize inference performance across diverse hardware accelerators (GPU, NPU, FPGA, VPU).

Performance, Reliability & Security

  • Ensure platform components meet stringent requirements for determinism, safety, and reliability in mission‑critical industries.
  • Implement security best practices for distributed AI, including model protection, secure communication, and data integrity.
  • Profile, tune, and optimize system performance across cloud and edge environments.

Collaboration & Technical Leadership

  • Work closely with architects, senior engineers, and product managers to translate platform vision into robust implementations.
  • Mentor junior engineers and contribute to engineering best practices, design reviews, and technical roadmaps.
  • Engage with customers and partners to understand requirements and support advanced solution development.
  • Contribute to open‑source initiatives and represent Wind River in technical communities when appropriate.

AI/Edge Exposure

  • Experience in mission‑critical or safety‑critical domains (automotive, aerospace, industrial, medical).
  • Knowledge of virtualization technologies (KVM, ACRN, hypervisors) and secure partitioning.
  • Background in distributed AI, federated learning, or edge‑to‑cloud orchestration frameworks.
  • Contributions to open‑source cloud, AI, or embedded systems projects.

Ways of Working

  • A strong engineering mindset with the ability to design, implement, and optimize complex distributed systems.
  • A passion for building intelligent, resilient platforms that power the next generation of autonomous and connected systems.
  • The ability to collaborate effectively across teams and influence technical direction.
  • Curiosity, initiative, and a drive to push the boundaries of cloud‑edge AI integration.

QUALIFICATIONS

  • Bachelor's degree in Computer Science, Electrical Engineering, or related field
  • 3 to 5 years of software engineering experience
  • Familiarity with Linux or embedded systems
  • Understanding of software development lifecycle
  • Proficiency in C/C++ programming
  • Understanding of Linux systems (kernel or user space)
  • Experience with version control (Git)
  • Basic debugging and problem-solving skills
  • Familiarity with build systems and development tools
  • Understanding of software testing principles
  • Candidates must be legally authorized to work in the United States on a permanent basis - without requirement for any type of visa sponsorship/transfer, now, or at any time in future. Verification of employment eligibility will be required at the time of hire.

PREFERRED QUALIFICATIONS

  • Experience with embedded Linux development
  • Knowledge of Yocto Project or similar build systems
  • Experience with Linux kernel or device drivers
  • Experience in automotive, industrial, or embedded sectors
  • Knowledge of real-time systems RTOS
  • Experience with Rust

What We Offer  

  • The opportunity to shape the future of industrial, medical, automotive, telecommunications, aerospace, government, and defense solutions with cutting-edge technology.

  • Competitive Salary: Attractive base salary with performance-based incentives - UNCAPPED Plan.

  • Benefits: Comprehensive benefits package including health, dental, vision, and retirement plans.

  • Growth Opportunities: Opportunities for professional development and career advancement within a leading technology company.

  • Innovative Environment: Work with cutting-edge technology and a team of passionate professionals dedicated to driving innovation.

Join us at Wind River, where we're not just shaping technology; we're shaping the future of a safer, more connected world. Your journey to make a meaningful impact begins here. 

APPLICANT PRIVACY NOTICE:  

Your privacy is of the utmost importance to us. At Wind River, we strictly adhere to all applicable data privacy laws. Please review Wind River's Applicant Privacy Notice, which can be found here.   

Wind River is an Equal Opportunity Employer with a commitment to diversity. We prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

#LI-JP1

Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates

Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

Top Skills

Ai Frameworks
AWS
Azure
C/C++
Cloud-Native Technologies
Containers
Devops Practices
GCP
Kubernetes
Linux
Microservices
Onnx Runtime
Python
PyTorch
TensorFlow
Tensorrt
Virtualization Technologies

APTIV Boston, Massachusetts, USA Office

100 Northern Ave, Boston, MA, United States, 02110

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