Software Engineer - New College Graduate

Marina del Rey, CA, US • Posted 8 hours ago • Updated 8 hours ago
Full Time
On-site
USD $100,000.00 - 140,000.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Debugging
  • Scalability
  • Team Building
  • Data Processing
  • Visualization
  • Sensors
  • Product Planning
  • Backend Development
  • Startups
  • Computer Science
  • Mathematics
  • Physics
  • Data Structure
  • Algorithms
  • Data Analysis
  • Real-time
  • Communication
  • Streaming
  • Apache Kafka
  • Apache Spark
  • Database
  • DevOps
  • Git
  • Continuous Integration
  • Testing
  • PostgreSQL
  • React.js
  • TypeScript
  • Apache Flink
  • Apache Parquet
  • Rust
  • Continuous Delivery
  • Amazon Web Services
  • Docker
  • GitHub
  • Grafana
  • Kubernetes
  • Linux
  • SIFT
  • Collaboration

Summary

At Sift, we're redefining how modern machines are built, tested, and operated. Our platform gives engineers real-time observability into high-frequency telemetry-eliminating bottlenecks and enabling faster, more reliable development.

Sift was born from our work at SpaceX on Dragon, Falcon, Starlink, and Starship-where scaling telemetry, debugging flight systems, and ensuring mission reliability demanded new infrastructure. Founded by a team from SpaceX, Google, and Palantir, Sift is built for mission-critical systems where precision and scalability are non-negotiable.

As a New College Graduate Software Engineer, you'll join a small, fast-moving team building foundational systems for the future of engineering. You'll have the opportunity to learn from experienced engineers, contribute to production code, and help design scalable solutions from the ground up.

In This Role, You'll
  • Contribute to the design and development of high-performance, scalable systems for data processing and visualization
  • Build features for engineers to explore and act on millions of sensor data points
  • Work closely with senior engineers in code reviews, design discussions, and product planning
  • Learn best practices in distributed systems, DevOps, and frontend/backend development
  • Help shape engineering culture, standards, and processes at an early-stage startup

The Skillset You'll Bring
  • Bachelor's degree in Computer Science, Engineering, Math, Physics, or another STEM discipline
  • Strong coursework or project experience in data structures, algorithms, or data analysis
  • Eagerness to learn large-scale distributed systems and real-time data platforms
  • Collaborative mindset and strong communication skills
  • Ability to thrive in a fast-paced, ambiguous environment

Bonus Points
  • Experience with streaming or data tools (Kafka, Flink, Spark, Beam)
  • Familiarity with databases (PostgreSQL, Timescale, Druid, or similar)
  • Exposure to frontend frameworks (React, TypeScript)
  • Experience with DevOps practices (Git, CI/CD, testing, monitoring)

Engineering At Sift:

You'll have the opportunity to help evolve and scale our platform because we're still in the early stages of building the product. Relevant technologies include:
  • Web frontend & backend: ECharts, Go, gRPC, PostgreSQL, Protobuf, Radix, React, Redux, and TypeScript
  • Data: Arrow, DataFusion, Flink, Parquet, and Rust
  • Infrastructure: Argo CD, AWS, Docker, GitHub Actions, Grafana, Kubernetes, Kustomize, Linux, Prometheus, and Terragrunt

Location:

Sift's headquarters is in Marina Del Rey, CA (Next to LAX). We collaborate in person twice a week-on Mondays and Thursdays-and come together for a full week every two months. We are open to relocating candidates to LA.

Salary range: $100,000 - $140,000 per year. Plus equity and benefits.

Eligibility:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80184023
  • Position Id: 3539835914e050a713acd503bc0bb7e8
  • Posted 8 hours ago
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