Snap

Principal Software Engineer, Machine Learning Infrastructure

$276,000-$414,000 annuallyFull-time · Palo Alto, CA
✓ Verified live on the employer's own system · added 33 days ago
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Junior · 2+ yrs exp

Requirements

Education: Bachelor's degree

Experience: 2+ years

Skills & tools

ManagementOperationsTroubleshootingProgrammingTeam LeadershipDistributed SystemsMachine LearningDevops
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Full job description

We're looking for a Principal Software Engineer to join Snap's ML Inference team!

- Oversee technical strategy and architecture in ML Inference Platform services

- Design, implement, and scale critical engineering components and services to support ML inference and deployment

- Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services

- Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management

- Provide technical direction that influences the entire company

- Excellent programming and software design skills, including debugging, performance analysis, and test design

- Proven track record of operating highly-available systems at scale

- Ability to proactively learn new concepts and technology and apply them at work

- Bachelors in technical field such as computer science, mathematics, statistics or equivalent years of experience

- 10+ years of post-Bachelor's software development experience; or a Master's degree in a technical field + 9+ year of post-grad software development experience; or a PhD in a related technical field + 6+ years of post-grad software development experience

- 2+ years of experience with technical leadership or acting as the domain-expert to a technical organization

- Experience in technical leadership/ownership and setting technical direction for engineering projects

- Experience architecting, designing, and developing large scale distributed systems and high-throughput RPC services

- Advanced degree in a technical field such as computer science

- Ability to promote product excellence and collaboration, driving a portfolio of concurrent engineering projects, from short-term critical feature launches to long-term research initiatives.

- Ability to create a compelling vision for the future, communicate clearly, and have a collaborative leadership approach.

- Experience with Tensorflow, PyTorch, Kubernetes, GPU, LLM inference is a plus

Zone A (CA, WA, NYC) : The base salary range for this position is $276,000-$414,000 annually.

Zone B : The base salary range for this position is $262,000-$393,000 annually.

Zone C : The base salary range for this position is $235,000-$352,000 annually.

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