Distributed Data Systems Engineer — Hybrid + Equity

Slope; San Francisco (CA); Hybrid; USD 255,000 - 405,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) retirement plan with employer match

Paid parental leave

Flexible PTO

Mental health and wellness support

Annual learning and development stipend

Job summary

Slope is seeking a Software Engineer for its team in San Francisco, CA. The role focuses on designing and scaling infrastructure for large-scale multimodal training. Responsibilities include managing distributed data pipelines and collaborating closely with researchers. Ideal candidates will exhibit strong experience in distributed systems and possess excellent organizational skills. The position offers a competitive salary range from $255K to $405K, plus equity and extensive employee benefits, including generous paid time off and a hybrid work model.

Qualifications

• Strong experience with distributed systems and large-scale infrastructure.
• Excellent organizational skills.
• Ability to thrive in ambiguous and rapidly changing environments.

Responsibilities

• Design and maintain data infrastructure systems for multimodal training.
• Ensure data platform scalability and reliability.
• Collaborate with researchers to understand requirements.

Skills

Experience with distributed systems

Software engineering fundamentals

Data infrastructure knowledge

Detail-oriented approach

Job description

Slope is seeking a Software Engineer for its team in San Francisco, CA. The role focuses on designing and scaling infrastructure for large-scale multimodal training. Responsibilities include managing distributed data pipelines and collaborating closely with researchers. Ideal candidates will exhibit strong experience in distributed systems and possess excellent organizational skills. The position offers a competitive salary range from $255K to $405K, plus equity and extensive employee benefits, including generous paid time off and a hybrid work model.