... decoder, a kernel module, a distributed system, an emulator, a graphics engine, a research project. • Open-source contributions, especially to systems projects. • Internship experience at a ...
... decoder, a kernel module, a distributed system, an emulator, a graphics engine, a research project. • Open-source contributions, especially to systems projects. • Internship experience at a ...
Software Engineer, New Grad
San Francisco, CA · On-site
$120K - $150K/yr
Medical
Dental
Vision
Retirement
PTO
... decoder, a kernel module, a distributed system, an emulator, a graphics engine, a research project. * Open-source contributions, especially to systems projects. * Internship experience at a systems ...
Software Engineer, New Grad
San Francisco, CA · On-site
$120K - $150K/yr
Medical
Dental
Vision
Retirement
PTO
... decoder, a kernel module, a distributed system, an emulator, a graphics engine, a research project. * Open-source contributions, especially to systems projects. * Internship experience at a systems ...
Internship Decoder information
See salary details
$9.13 - $10.47
2% of jobs
$10.47 - $11.80
2% of jobs
$11.80 - $13.13
3% of jobs
$13.13 - $14.47
17% of jobs
$14.55 is the 25th percentile. Wages below this are outliers.
$14.47 - $15.80
18% of jobs
The median wage is $16.51 / hr.
$15.80 - $17.13
16% of jobs
$17.13 - $18.47
11% of jobs
$18.89 is the 75th percentile. Wages above this are outliers.
$18.47 - $19.80
20% of jobs
$19.80 - $21.13
6% of jobs
$21.13 - $22.47
3% of jobs
$22.47 - $23.80
2% of jobs
$9
$17
$23
How much do internship decoder jobs pay per hour?
What are the most commonly searched types of Decoder jobs?
The most popular types of Decoder jobs are:
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States with the most job openings for Internship Decoder jobs include:
Job description
Eventual is a company focused on building innovative solutions for Physical AI systems, and they are seeking a New Grad Software Engineer to join their team. In this role, you will contribute to the development of their open-source Daft query engine and work closely with senior engineers to optimize systems that handle petabytes of video data.
Responsibilities:
• Contribute to features across Eventual's stack: the open-source Daft query engine, the dataloading layer, the storage and indexing layer, or the visual understanding pipeline.
• Profile, benchmark, and optimize real systems on real workloads — petabytes of customer video on real GPU clusters.
• Write clean, maintainable Python and Rust. Read papers, prototype, ship to production.
• Pair with senior engineers who'll teach you systems work the right way — and trust you with real ownership early.
• Sit in on customer calls with researchers at top Physical AI labs. The shortest path from "researcher mentions a pain" to "engineer ships a fix" is the path we want you on.
Qualifications:
Required:
• Within ~1 year of graduating, or recently graduated.
• Strong programming fundamentals in Python, Rust, C++, or Go. Bonus points if you've reached for the lower-level languages because the problem demanded it.
• A real love for systems, distributed systems, databases, or data infrastructure — the kind of love that shows up in side projects, course projects you took further than required, or open-source contributions.
• Hungry. Curious. Willing to read papers, dig into a profiler, and stick with a hard problem until it gives.
• Excited to work in person, in a small team, in an SF office, 4 days a week.
Preferred:
• Built something obsessive in undergrad: a database, a query engine, a compiler, a custom decoder, a kernel module, a distributed system, an emulator, a graphics engine, a research project.
• Open-source contributions, especially to systems projects.
• Internship experience at a systems-heavy team — databases, ML infrastructure, GPU/HPC, storage, networking.
• Familiarity with cloud technologies (AWS, GCP, Azure).
• Background in computer architecture, OS, compilers, or distributed systems.
Company:
Eventual makes processing images, video & audio as easy as SQL. Their platform helps AI companies handle petabytes of multimodal data. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.
About Eventual
Sourced by ZipRecruiter
Industry
Software development
Company size
1 - 10 Employees
Headquarters location
San Francisco, CA, US
Year founded
2022