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Genius Sports is hiring a Software Engineer, Rust

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Job Description

A bit about us:    

Genius Sports is at the forefront of the sports technology landscape, delivering real-time data and innovative digital solutions that connect sports, brands, and fans worldwide. From data capture to distribution, we are an integral partner to sports leagues and federations—including the NFL, English Premier League, FIBA, and NCAA—ensuring that critical data and cutting-edge products reach millions of users.    
  
If you want to be part of a passionate global team shaping the future of sports entertainment, then come join us. We foster an environment where creativity, collaboration, and continuous learning drive innovation for our partners and end-users.     

The Role - Software Engineer, Rust 

We are seeking an experienced Software Engineer to build low-latency and reusable data pipelines that produce tracking and pose data that powers AI-driven insights about team and player performance, assists our semi-automated systems that make real-time officiating decisions, and revolutionizes the sports viewing experience through live video augmentation. 

What You’ll Do: 

  • Collaborate with teams across computer vision, AI, and augmentation to integrate low-latency algorithms. 
  • Develop performant code for both cloud-based and on-premise environments. 
  • Design autonomous systems that scale efficiently and minimize manual intervention. 
  • Create tools and frameworks that accelerate developer productivity and team velocity. 

Minimum Qualifications 

  • 3 years of industry experience 
  • Experience with optimizing and benchmarking low-latency, real-time systems 
  • Enthusiasm towards framework development and developer experience 
  • Learning and mentoring mentality 
  • Ability to excel in a fast-paced, dynamic environment 
  • Proven technical leadership and strong communication skills 
  • Proficiency in writing async Rust 
     

Preferred Qualifications 

  • 5+ years of industry experience 
  • Experience designing and building live data streaming pipelines 
  • Previously delivered live events and participated in on-call support 
  • Used message brokers such as Pulsar, RabbitMQ, ZMQ 
  • Devops experience with Linux, CMake, Docker/Earthly, Kubernetes 
  • Familiarity with Nvidia GPUs and CUDA 
     

What’s in it for you? 
As well as a competitive salary and annual leave allowance, our benefits include health insurance, skills training and much more, depending on the location. We also offer a host of softer benefits, including many social events throughout the year such as summer and winter holiday parties, monthly team building events, sports tournaments, charity days and wellbeing activities.     

The salary for this role is based on an annualized range of $125,000 – $175,000. This role will also be eligible to take part in Genius Sports Group's benefits plan.   

 
How we work: 
Genius will be returning to the office 4 days a week, and this will give you the opportunity to work collaboratively face-to-face with colleagues in our Los Angeles office. 
 
Our employees are empowered to stretch the boundaries of what’s achievable, always reaching further and pushing the edges to see what gives. We collaborate, we innovate, and we celebrate. We will continue to grow as an organization and continue to invest in our highly talented and diverse team of Geniuses. 
 
Genius Sports Group is proud to be an equal opportunities employer. We recognize and celebrate the benefits that a diverse and inclusive workforce bring to our business, our customers and our staff. We welcome and will consider all applications regardless of age, different abilities or disability, gender re-assignment, marriage, pregnancy, maternity, race or nationality, religion or belief, sex and sexual orientation (and any other applicable status). Please let us know when you apply if you need any assistance during the recruiting process due to a disability.     

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Salary Information

Salary: $90,000 - $150,000

🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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