Job Description
Who We Are:
Industrial Light & Magic, founded in 1975 by George Lucas, has created some of the most iconic moments in motion picture history. From Star Wars to Jurassic Park, Pirates of the Caribbean, Transformers, The Avengers, theme park rides and interactive experiences, ILM continues to expand the possibilities of what visual entertainment can be.
ILM’s Core Pipeline Department develops the ground-breaking technology that empowers our artists to create dazzling visuals. ILM’s innovations have won 34 Scientific and Technical Academy Awards. Today, we are 70+ visually-minded software engineers, working side-by-side with over a thousand digital artists in a fast-paced, intensely collaborative, creative film production environment, across studios in San Francisco, Vancouver, London, Sydney, and Mumbai.
Summary of the Role:
This role is considered Hybrid, which means the employee will work 2-3 days onsite at a Company designated location and occasionally from home.
We seek engineers to join our Platform Team and help us develop tools and services that support production techniques across all areas of visual effects, feature animation, and real-time content production.
We welcome engineers with a passion for applying the latest machine learning technology to these challenges and more!
At ILM, a good idea is a good idea, regardless of where it comes from! Do you thrive in a creative environment? Do you enjoy sharing knowledge and learning from others? If you love art, technology, and movies, then this might be the role you’re looking for.
ILM strives to be an inclusive environment, and the Core Pipeline group embraces promising individuals with a variety backgrounds and experiences.
What You’ll Do:
- Work with engineers across all of ILM’s studios, splitting time between long-term software development projects and day-to-day artist support, consultation, and problem-solving.
- Collaborate with R&D teams in developing and deploying the next generation of machine-learning-based tools wherever applicable.
- Work closely with development teams to ensure applications are designed for scalability, reliability, and performance.
- Design, deploy, and maintain distributed, multi-region, highly scalable, and reliable services to improve developer productivity and experience.
- Build and maintain effective monitoring, logging, and alerting systems.
- Implement Site Reliability Engineering (SRE) and Machine Learning Operations (MLOps) practices.
- Continuously improve our application infrastructure and processes.
- Drive discussions about the future of the developer platform at ILM.
- Provide support in the event of critical service downtime.
What to Bring:
- Knowledge of and/or eagerness to learn principles of visual effects, potentially with a specialty such as modeling, animation, lighting, rendering, image processing, etc.
- Appreciation of software development principles: object-oriented design, test-driven development, source code management, build and release processes.
- Experience with MLOps techniques, processes, and toolsets.
- Expert knowledge of Python and the Linux environment.
- Experience working with network and application protocols like NFS, TCP, gRPC and HTTP.
- Experience with several relational or NoSQL technologies such as MySQL, PostgreSQL, MongoDB, Redis, Cassandra and Elasticsearch.
- Experience building and operating Kubernetes clusters in production.
- Experience with infrastructure as code such as Terraform, Ansible.
- Experience with CI/CD pipelines.
- Experience with monitoring and logging tools such as ELK stack, Prometheus, Grafana, and Datadog.
- Knowledge of or expertise with SRE practices.
- Experience designing and implementing distributed systems in multi-region and hybrid environments.
Education / Experience:
- BS or advanced degree in computer science or related field, or similar experience.
- 10+ years or demonstrated experience with professional software development and/or VFX production.
JoinILM
The hiring range for this position in Vancouver is C$137,300 to C$175,800 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A full range of medical, financial, and/or other variable pay or benefits, may be offered dependent on the level and position offered.