[Hiring] Senior MLOps Engineer @Hudl

Role Description

We're hiring a Senior MLOps Engineer for our Hardware Group to build and scale the machine learning infrastructure that powers Focus, our line of smart cameras. You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally, and contribute to the platform that compiles trained models into optimised inference engines for devices like the Jetson Orin, building the "nervous system" for the next generation of automated sports capture.

• Build scalable Edge infrastructure. You'll design, develop, and maintain the delivery systems that enable us to deploy models to fleets of devices.
• Own the model compilation platform. You'll build and maintain the pipeline that takes trained models and produces optimised, hardware-specific inference engines — managing TensorRT compilation, precision trade-offs (FP16/INT8), calibration, and engine validation to ensure models run reliably and efficiently on target devices.
• Work with cross-functional teams. You'll collaborate with Data Scientists, Embedded Engineers, and Product Managers to ensure smooth integration of complex features and capabilities.
• Drive automation and reliability. You'll implement infrastructure to silently test candidate models on production devices and build telemetry pipelines to monitor drift, thermal impact, and inference latency in the wild.
• Solve complex physical challenges. You'll tackle the unique constraints of the edge - building resilient update mechanisms for low-bandwidth environments, optimising for limited storage, and ensuring devices recover gracefully from network failures.
• Mentor and lead. You'll share your expertise to establish best practices in Python tooling, Infrastructure-as-Code, and CI/CD, guiding the team toward a more robust, automated future.

Qualifications

• Production MLOps expertise.
• Edge inference & compilation know-how.
• Collaborative.
• Systems thinking.
• Bias towards action.

Requirements

• Experience with our Edge AI stack.
• Video Technologies.
• Fleet management.
• Sports Passion.

Benefits

• Champion work-life harmony: Flexible vacation time, company-wide holidays, meeting-free days, remote work options.
• Guarantee autonomy: Open, honest culture with trust from day one.
• Encourage career growth: Resources and opportunities for professional development.
• Provide an environment to help you succeed: Investment in office spaces and tech stack.
• Support your wellbeing: Medical and retirement benefits, Employee Assistance Program.

Company Description

Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we’ll create an environment where everyone, no matter their differences, feels like they belong.

• Resources to ensure employees feel safe bringing their authentic selves to work.
• Employee resource groups and communities.
• Annual inclusion reports to track efforts and commitments.
• Support for candidates experiencing imposter syndrome.