Edge Tech Lead

Design and deploy ML pipelines.

Optimize models for various tasks.

Build and refine ML systems for promotional performance.

Optimize production ML models for efficiency.

Design and build Host Assurance components.

Ensure hosts are trustworthy from delivery to join.

Optimize large-scale models using advanced techniques.

Develop pipelines for model conversion and deployment.

Serve as a technical partner to sales teams.

Conduct architecture reviews and proofs of concepts.

Develop and maintain Board Support Packages.

Collaborate with engineering teams for product success.

Build real-time instrumentation for performance monitoring.

Analyze metrics for GPU performance hotspots.

Enhance user experience through research and data.

Understand and apply relevant platform technologies.

Engage with customers for requirements gathering.

Propose solutions to prospective clients.

Enhance foundation models using large-scale data.

Develop a multi-year AI technology roadmap.

Design and deploy ML/AI models.

Build scalable data pipelines.

This is an exciting opportunity for a Principal Machine Learning Engineer at Airbnb, focusing on LLM fine-tuning and optimization. In this role, you will utilize your expertise in machine learning to develop and productionize large-scale AI models. You will have the chance to shape the future of AI technology through strategic planning and architectural decisions, making a significant impact within a leading tech company.

Create a multi-year tech roadmap for AI.

Join Canonical as an Embedded Linux Field Engineer for Devices/IoT and play a crucial role in advancing technology in industries such as Automotive and Robotics. You will engage with clients to understand their needs, propose tailored solutions, and contribute to the delivery of innovative projects using Ubuntu. This position offers the chance to work remotely while being part of a dynamic team that values collaboration and excellence in open source software.

Provide customer-focused solutions for Embedded Linux.

This Software Engineer role offers a unique opportunity to work at the intersection of software development and machine learning. You will be responsible for developing production-grade features in Go and Python, implementing performance enhancements, and managing GPU resources. Collaborate with seasoned professionals in a supportive environment focused on continuous learning and operational excellence. This position not only promises career growth but also includes competitive benefits and a flexible work culture.

Implement performance engineering techniques.

Join a leading team as a Hardware Security Engineer, where you'll take ownership of security requirements and validation strategies for innovative hardware platforms. Your expertise will be crucial in designing secure boot processes, managing device identities, and ensuring firmware resilience. This role offers an exciting opportunity to work on cutting-edge technology in a hybrid work environment, with relocation support available.

Design secure boot and firmware resilience.

Join our innovative team as a Senior Machine Learning Engineer focusing on Perception Detection and Tracking. You'll play a pivotal role in defining and implementing the architecture for tracking systems in vehicles, while collaborating with experts to develop cutting-edge models. This position offers an exciting opportunity to work at the forefront of automotive technology, enhancing the capabilities of our vehicle systems through advanced machine learning techniques.

Implement core tracking results from the Perception stack.

This is an exciting opportunity to join SpaceX as an Inference Software Engineer. You will be responsible for developing high-throughput and reliable inference systems while architecting scalable distributed infrastructure for model serving. The role offers the chance to work with cutting-edge technologies and optimizations, ensuring high performance under production workloads. If you have a passion for software engineering and want to contribute to groundbreaking projects in the aerospace industry, this position is for you.

Architect scalable infrastructure for model serving.

Join Canonical as an Embedded Linux Field Engineer for Devices/IoT, where you'll play a pivotal role in enhancing our offerings across various mission-critical industries like Automotive and Medical Devices. This exciting opportunity allows you to engage with clients, develop innovative solutions, and advocate for customer needs while working with cutting-edge technologies in the IoT space. Be part of a dynamic, global team committed to transforming the landscape of open-source software.

Engage with customers to gather requirements.