Senior Software Engineer - Edge Vision Platform

geniussports; Lausanne; Vor Ort; CHF 140.000 - 155.000; Vollzeit

Benefits dieser Stelle

Office-first culture

Zusammenfassung

Genius Sports in Lausanne is seeking a Senior Software Engineer to join the Edge Vision Platform within the Data & AI group. You will design and implement backend services and iOS camera integration that enable high‑volume, real‑time video capture and analysis across sport venues.

You will own long‑term technical initiatives, collaborate with cross‑functional teams, and participate in on‑call rotations while visiting the Lausanne Jordils office four days a week.

Qualifikationen

• Swiss/EU/EFTA citizen or residency permit in Switzerland
• 5+ years experience as a backend or software engineer
• Proficient with at least one programming language among Rust, Swift and Go
• Strong experience designing, implementing and operating complex HTTP and WebSocket services at scale
• Strong experience with concurrent programming
• Ability to communicate efficiently and articulate concepts based on the audience

Aufgaben

• Design and code backend services and iOS camera application capabilities that support the Vision platform across sport venues worldwide
• Design and code end-to-end processes enabling operational staff to deploy, monitor and diagnose video capture devices and services
• Take ownership of long-term technical efforts and articulate design choices to technical and non-technical people
• Collaborate closely with teammates to solve problems, share knowledge and provide actionable feedback
• Participate in an on-call rotation that emphasizes eliminating repeating escalations
• Visit our Lausanne Jordils office 4 times per week, with flexible hours

Kenntnisse

Rust

Swift

Go

HTTP/WebSocket

Concurrency

Tools

Tokio

Axum

Tonic

PostgreSQL

Redis

FFmpeg

Docker

Kubernetes

Prometheus

Grafana

AWS Cloud

Jobbeschreibung

The Role: Senior Software Engineer - Edge Vision Platform

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com.

We are seeking a Senior Software Engineer to be part of the Edge Computing team in the Data&AI group. As we deliver real-time player tracking, sport analytics and broadcast augmentation to customers worldwide, we are looking to increase our capabilities for capturing video and running computer vision algorithms at the edge. This role focuses on the Vision platform, which consists of an iOS application running on iPhone-based cameras in sport venues, and the backend web services that support this fleet.

Specifically, you can expect to:

• Design and code backend services and iOS camera application capabilities that support the Vision platform across sport venues worldwide
• Design and code end-to-end processes enabling operational staff to autonomously deploy, monitor and diagnose video capture devices and services
• Take ownership of long-term technical efforts and articulate design choices to technical and non-technical people
• Collaborate closely with teammates to solve problems, share knowledge and provide actionable feedback
• Participate in an on-call rotation that emphasizes eliminating repeating escalations
• Visit our wonderful Lausanne Jordils office 4 times per week, with flexible hours

Minimum Qualifications

• Swiss/EU/EFTA citizen or residency permit in Switzerland
• 5+ years experience as a backend or software engineer
• Proficient with at least one programming language among Rust, Swift and Go
• Strong experience designing, implementing and operating complex HTTP and WebSocket services at scale
• Strong experience with concurrent programming
• Ability to communicate efficiently and articulate concepts based on the audience

Preferred Qualifications

• Experience with video systems, including the FFmpeg library API, video compression and streaming concepts
• Experience with machine learning systems, including CNN architecture and inference
• Experience with GPU computing, such as writing shaders
• Experience with iOS camera APIs and high performance iOS application development
• Experience with the lifecycle and management of backwards-compatible applications deployed to a large fleet of edge devices
• Experience building systems that remain reliable when deployed outside of easy physical access

Our Stack

Languages and frameworks: Rust, Swift, C++, Go

Edge Devices: iOS, Apple CoreML, Apple Metal

Backend: Tokio, Axum, Tonic, PostgreSQL, Redis, FFmpeg

Cloud: Docker, Kubernetes, Prometheus, Grafana, AWS Cloud

Our Work Environment and What You Will Benefit From

• Become part of the world of elite sports, build systems that support data analytics and augmentation for the best leagues
• Enjoy an innovative and dynamic environment that encourages self-development
• Develop backend and video capture solutions that directly improve the daily work of operational staff, developers and partner teams
• Work on software that connects cloud services, edge devices, iOS cameras and real-time sport environments

The base salary range for this role is CHF 140,000 - CHF 155,000. There are a number of factors which affect what the specific pay for this role is, including seniority and relevant educational and working experience.

We enjoy an 'office-first' culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we're committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.