We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Systems Engineer
About Unto Labs
Unto Labs is a team of low-level engineers pushing distributed systems to the physical limits of modern hardware. We’re reimagining blockchains, from core consensus primitives to performance‑tuned networking stacks, in the service of global scale applications.
About the role
We’re seeking a Systems Engineer to take on the toughest challenges in distributed, high‑performance computing. You’ll be responsible for designing and building key parts of a base‑layer blockchain, focused on juicing every last ounce of performance from commodity hardware. As a member of our fast‑paced team, you’ll work across the entire modern blockchain stack, including cryptography, consensus, distributed systems, and core kernels.
Responsibilities
- Design systems for robust process isolation
- Build and test high‑performance sub‑systems from scratch in C, focusing on cryptographic operations, consensus mechanisms, and networking
- Implement advanced error correction and data recovery mechanisms
- Build and contribute to a suite of custom benchmarking and performance testing tools
Qualifications
- Deep expertise in systems programming languages (C, C++, Rust) with a focus on performance optimization
- Experience and understanding of modern CPU architectures, memory hierarchies, and low‑level optimization techniques
- Expertise in high‑performance networking and protocol design
- Understanding of distributed systems and consensus algorithms
Why join us?
- Be at the forefront of blockchain technology, working on next‑generation performance optimization, on a small, fast‑moving, tight‑knit team
- Work with a team of experts with deep expertise in high‑frequency trading and scaling developer ecosystems
- Shape the architecture of a system designed to process millions of transactions per second
- Access to cutting‑edge hardware and development tools
Benefits
- Flexible work environment
- Unlimited vacation policy
- Health insurance
- Hardware and development tool allowance
- Conference and learning budget
Job Details
- Location: San Francisco
- Employment Type: Full time
- Department: 01 Engineering
- Compensation: Competitive salary ($180k-$250k+ USD); Significant equity and upside potential
Company Details
Unto Labs
Company Overview
About
Train AI, Get Paid
Get Paid $50-$150/hour to work on short-term AI/ML or Software consulting projects that help train AI Models.
Explore Opportunities →