Jito Labs is architecting the future of high-performance distributed systems on Solana. We’re the team behind Jito-Solana, the leading MEV Solana client, and the Jito Block Engine, which has generated roughly 4.5 million SOL for validators and stakers over the past year.

Our latest product, BAM, reimagines Solana market structure and the transaction supply chain with a heavy emphasis on performance, reliability, and transaction privacy. We are building systems that operate at the edge of what modern hardware and networks can sustain.

We're looking for a senior engineer who is comfortable working across application code, operating systems, hardware behavior, and network protocols — someone who enjoys debugging the kinds of problems where the root cause might live anywhere in the stack.

About the Position:

We build latency-sensitive infrastructure where microseconds matter and root causes are rarely obvious. This role is for someone who can move comfortably between application code, kernel internals, hardware behavior, and network protocols — debugging a TCP retransmission anomaly one day and reasoning about memory contention the next.

You should be as comfortable reading kernel source and packet captures as you are writing production Rust. Much of the work involves ambiguous, cross-layer problems where existing tools and playbooks are insufficient and new ones must be created.

This is a senior role for someone who has previously been the person others escalate to when nobody else can find the root cause.

Networking

Debug and optimize network performance end-to-end: NIC tuning, congestion control, packet pacing, queueing disciplines
Analyze traffic using tcpdump, Wireshark, and custom tooling; reason about protocol behavior under load
Work with protocols beyond TCP/UDP when required (e.g., ICMP, IGMP, multicast)
Experience with high-performance I/O and kernel-bypass techniques such as DPDK, XDP, io_uring, or similar

Linux Systems

Read and reason about Linux kernel source when debugging requires it
Understand networking stack internals (socket buffers, congestion control, netfilter, scheduling interactions)
Build bespoke tooling when existing observability is insufficient
Work fluently with kernel interfaces used by performance-sensitive systems

Hardware & Performance

Use hardware performance counters, perf, eBPF, and flamegraphs to locate real bottlenecks
Reason about practical CPU behavior: cacheline contention, branch misprediction, NUMA effects, memory ordering
Understand IRQ affinity, scheduling behavior, paging, and TLB effects under real workloads
Willing to read assembly when the situation calls for it

Software Development

Strong low-level systems programming background
We work primarily in Rust, but strong experience in C or C++ is equally relevant
Solid understanding of algorithms, data structures, and writing correct concurrent code
Contribute to infrastructure, tooling, and occasionally upstream projects

Requirements

10+ years of experience in systems programming, networking, or performance-critical infrastructure
Deep Linux expertise, including kernel behavior, networking internals, and performance tuning
Proficiency with packet analysis and network debugging tools
Experience with performance profiling and tracing (perf, eBPF, flamegraphs, etc.)
Strong programming fundamentals; depth matters more than language
Track record of diagnosing complex issues spanning application, OS, and hardware layers
Clear, direct communication

Strong Plus

Experience in domains where latency and performance are first-order constraints (e.g., HFT, real-time systems, low-latency networking, kernel-adjacent infrastructure, high-performance distributed systems)
Custom memory allocators or deep memory subsystem optimization
Virtualization internals and passthrough networking (SR-IOV, vDPA, etc.)
Kernel-adjacent work (eBPF programs, driver debugging, custom modules)
Solana or blockchain infrastructure experience

Why Jito

We’re a small, profitable company with real product-market fit. That means:

High ownership: you drive major technical decisions and shape the direction of the system
Fast execution: we ship quickly and iterate on real-world behavior
Technical depth: the problems are real, complex, and intellectually demanding
Sustainable: strong financials allow us to focus on long-term impact, not runway