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Live In Sports Software Engineer Jobs in Calgary, AB

... Engineer to join our dynamic team developing commercial software solutions for the industrial ... In this role, you'll contribute to the design, development, and testing of high-quality software ...

Software Engineer

Calgary, AB ยท On-site

CA$125K - CA$145K/yr

ClearGov is looking for a Software Engineer to join our team ... You'll be a key contributor in designing, developing, and scaling the next generation of our cloud ...

Sr. Software Engineer

Calgary, AB ยท On-site

CA$11K - CA$145K/yr

We are authentic in our interactions, communicating with clarity, speaking with honesty, and ... The Senior Software Engineers will lead engineering, driving technical direction, team development ...

We attract and retain the best talent by investing in our employees and empowering them to develop ... Strong software engineering fundamentals are the primary requirement. Domain knowledge is valuable ...

We attract and retain the best talent by investing in our employees and empowering them to develop ... Strong software engineering fundamentals are the primary requirement. Domain knowledge is valuable ...

The Relational Migrator team, already instrumental in this area, aids developers in making the ... MongoDB is seeking a Software Engineer with solid software engineering skills and a machine ...

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Live In Sports Software Engineer information

What is the difference between Live In Sports Software Engineer vs Sports Software Developer?

AspectLive In Sports Software EngineerSports Software Developer
CredentialsBachelor's in Computer Science or related field, relevant certificationsBachelor's in Computer Science or related field, relevant certifications
Work EnvironmentOn-site at sports venues, live event settingsOffice or remote, software development teams
Industry UsageUsed in live sports broadcasting, stadium techUsed in sports app development, analytics
Search IntentComparing live event roles, on-site positionsDeveloping sports software, applications

The Live In Sports Software Engineer typically works on-site during live sports events, focusing on real-time data processing and broadcasting systems. In contrast, a Sports Software Developer generally works in an office or remotely, developing sports-related applications and software solutions. Both roles require similar technical skills and certifications but differ mainly in work environment and specific responsibilities related to live event execution versus software development.

What is a live in sports software engineer?

A Live In Sports Software Engineer is a professional who develops and maintains software systems specifically designed for live sports events. Their work often involves building applications for real-time data processing, live score updates, video streaming, and fan engagement platforms. These engineers collaborate closely with sports organizations to ensure seamless digital experiences during live events. They must have strong programming skills, a deep understanding of sports technology, and the ability to work under the pressure of live broadcasts. The role is critical in delivering accurate and immediate information to fans and stakeholders.

How does a live in sports software engineer typically collaborate with broadcast teams during live sporting events?

As a Live In Sports Software Engineer, you often work closely with broadcast production teams to ensure real-time data integration and optimal software performance during live games. This collaboration may involve troubleshooting technical issues under tight deadlines, quickly adapting to changes in event schedules, and communicating updates to both technical and non-technical staff. You'll likely participate in pre-event testing, provide on-site or remote support during broadcasts, and implement immediate fixes to maintain seamless viewer experiences. Effective teamwork and clear communication are essential for meeting the fast-paced demands of live sports environments.

What are the key skills and qualifications needed to thrive as a live in sports software engineer, and why are they important?

To thrive as a Live In Sports Software Engineer, you need strong programming abilities (typically in languages like Python, Java, or C++), a solid understanding of software development principles, and a relevant degree in computer science or a related field. Familiarity with sports data APIs, cloud platforms, real-time data processing tools, and version control systems such as Git is crucial. Excellent problem-solving skills, teamwork, and the ability to work under pressure during live events set top candidates apart. These skills and qualities are vital to ensure reliable, high-performance software that supports live sports operations and delivers accurate, real-time results.
What are the most commonly searched types of Sports Software Engineer jobs in Calgary, AB? The most popular types of Sports Software Engineer jobs in Calgary, AB are:
What job categories do people searching Live In Sports Software Engineer jobs in Calgary, AB look for? The top searched job categories for Live In Sports Software Engineer jobs in Calgary, AB are:
Infographic showing various Live In Sports Software Engineer job openings in Calgary, AB as of July 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Software Engineer, ML Infrastructure

Serve Robotics

Calgary, AB โ€ข Remote

$155K - $190K/yr

Full-time

Re-posted 10 days ago


Job description

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.

The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.

Who We Are

We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.

As a Software Engineer on the Machine Learning (ML) Infrastructure team, you will help design, build, and maintain our petabyte-scale data and ML platform that powers data partnerships, ML research, and autonomy engineering. You will build and improve our data discovery capabilities and integrate with 3rd party annotation platforms. By collaborating with members of the autonomy and ml teams you will help us refine how we organize various data attributes and classifications. This role plays a pivotal role in helping the team leverage data from our rapidly expanding fleet of thousands of robots.

Responsibilities
  • Develop and maintain highly scalable data processing pipelines for data curation, annotation, search and ml feature extraction.

  • Build data discovery features for the platform.

  • Create and maintain search features such as natural language querying

  • Develop and maintain our orchestration and scheduling systems.

  • Maintain and evolve our data schemas such as unified data attribute system, scenario tagging and management

  • Build integrations with annotation providers to efficiently review large scale data preannotations

  • Collaborate with autonomy engineers to collect feedback, improve documentation, and run tutorials on platform features

Qualifications
  • BS or MS in computer science with focus in data engineering and/or machine learning

  • 3+ years of industry experience building, running and improving large-volume data processing, feature extraction, data annotation workflows

  • Experience building data mining and search capabilities

  • Experience with both Python and SQL is required

  • Solid understanding of data distributions and their impact on ML Models

  • Hands-on experience and good understanding of LLMs, VLMs, embeddings, vector databases

  • Experience with data annotation providers such as CVAT, LabelBox, LabelStudio, etc

What Makes You Stand Out
  • Experience with integrating cloud inference platforms for LLMs/VLMS (ChatGPT, Gemini, etc)

  • Experience working with Multi Modal data (Lidar, Camera, etc)

  • Experience with robotics systems

  • Experience optimizing large scale vector databases

Compensation Range: $155K - $190K