Principal Software Engineer, Machine Learning Infrastructure

Responsibilities

• 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.

Skilled at solving ambiguous problems.

Strong collaboration and mentorship skills.

• Bachelors in a 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.
• Experience with cross platform development.
• 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.

• Paid parental leave
• Comprehensive medical coverage
• Emotional and mental health support programs
• Compensation packages that include equity in the form of RSUs

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job‑related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

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.

This position is eligible for equity in the form of RSUs.

“Default Together” policy:
At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.

Snap Inc. is proud to be an equal opportunity employer, and is committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.