Sift is the data infrastructure platform for hardware engineering teams. Sift turns high-frequency telemetry into engineering insights for mission-critical systems. Teams use Sift to build and operate rockets, satellites, autonomous vehicles, energy systems, defense platforms, and more.
Founded by former SpaceX engineers who built the tools behind Dragon and Starlink, Sift is building the data infrastructure to herald the AI era for physical systems.
In This Role, You'll:
Design and optimize data pipelines that run entirely in the browser: Web Workers processing Apache Arrow binary data, persistent caching in the Origin Private File System, and multi-layer invalidation strategies that keep the UI responsive while handling datasets that would crash most web apps.
Build interactive visualizations for time-series telemetry, FFT frequency analysis, geographic mapping, and scatter plots, and many more, each with distinct performance profiles and correctness constraints. When your users are debugging flight hardware, a rendering inaccuracy is a mission-critical problem, not a cosmetic one.
Solve performance problems that frameworks can't: bypassing React's render cycle for 60fps interactions, coordinating worker thread pools, managing memory across large binary buffers, and making architectural decisions about what belongs on the main thread vs. off it.
Architect composable UI systems for technical users who need full data fidelity. Not simplified dashboards, but tools that expose the real complexity of hardware telemetry with zeptosecond level timestamp precision - Work across the stack boundary. Collaborate with backend engineers on API design, binary serialization formats, and query semantics for structured data endpoints.
The Skillset You'll Bring:
7+ years building software for the web, with meaningful experience pushing browsers beyond their comfort zone, whether that's performance optimization, binary data processing, GPU rendering, multi-threaded architectures, or something else that required understanding the platform deeply
Strong TypeScript skills and comfort working in a React codebase, but your value isn't in knowing React APIs. It's in knowing when React is the wrong tool for the job and what to reach for instead
Systems-level intuition: you think about memory layout, thread coordination, caching strategies, and data serialization formats, not just component hierarchies
Experience building for correctness under constraint. You've worked on software where bugs have real consequences, or you've built systems where data fidelity and performance couldn't be traded off against each other
Bonus Points:
Experience with GPU-accelerated rendering in the browser (WebGL, WebGPU, Canvas 2D optimizations) or technical visualization at scale (D3, ECharts, custom renderers)
Hands-on work with binary data formats (Arrow, Parquet, protobuf, FlatBuffers) or columnar data processing
Background in Web Workers, SharedArrayBuffer, OPFS, or other browser threading/storage APIs - Experience in domains where data correctness is non-negotiable: aerospace, scientific computing, medical devices, financial systems, or similar
Projects where you had to build infrastructure that didn't exist yet, like custom caching layers, data processing pipelines, rendering engines, or developer tools
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: React, TypeScript, Redux, Tailwind, WebAssembly, D3.js, WebGL, and Go
Data: Parquet, Flink, Kafka, Redpanda, Beam, DuckDB, Timescale, QuestDB, InfluxDB, and Druid
Infrastructure: GitHub Actions, AWS, Azure, GCP, Docker, Kubernetes, and Terraform
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 or working from our San Francisco office for the right candidate.
Salary range: $200,000 - $250,000 per year. Plus equity and benefits.
Eligibility:
U.S. Person Required: Must be a U.S. citizen, lawful permanent resident, or protected individual such as an asylee or refugee in compliance with ITAR (International Traffic in Arms Regulations) / EAR (Export Administration Regulations) regulations.
What We Do
Sift is transforming how modern machines are built and operated. Our platform goes beyond traditional monitoring, enabling automated data review that catches unusual conditions in systems too complex for manual checks. This not only enhances reliability but also dramatically speeds up development cycles. At our core, we provide a unified solution for ingesting, storing, and analyzing vast amounts of machine data. By combining powerful data processing with easy-to-use visualizations, we help engineers make sense of enormous amounts of information. From spacecraft to self-driving cars, Sift is the backbone of innovation for companies pushing technology to new limits. Born from the challenges of spaceflight, Sift aims to accelerate technological progress. We believe that by giving engineers better tools to understand and improve their creations, we can unlock a new era of innovation. Our mission goes beyond solving today's engineering problems; we're building the foundation for a future where the most ambitious machines are developed with confidence, run with precision, and constantly improved. We're also tackling related challenges like simplifying regulatory compliance, and improving manufacturing processes. By connecting data from various sources—from sensors to manufacturing records to regulatory requirements—we're empowering a new generation of engineers to build the technologies that will shape our world. Join us in our journey to usher in this new age of reliable, groundbreaking technology. Whether you're launching rockets, developing autonomous systems, or advancing energy and transportation, Sift is your partner in turning vast amounts of data into insights that drive innovation forward.






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