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1X

Staff Systems Engineer - Core

San Carlos, CAOnsite · United States
Staff · FullTime · Software Engineering
POSTED 17 JUNVERIFIED 7H AGO
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Pay · posted
$210k–253k
Open for
141d
since 17 Jun
Hiring · 30d
100
0 net · open roles
C++

About 1X

We’re building humanoid robots that work in home - doing the chores, handling the tasks, and giving people their time back. Simple, but it’s not.

To do this right, we have to solve robotics, AI, manufacturing - at the same time, at scale, in a form factor that has to be safe enough to live with your family. If you’re inspired by this, you’ll thrive here. We’ve been at this since 2014 and we’re at the point where the hard problems are behind us and the hard work is in front of us.

NEO is our flagship - a home robot designed to move, learn, and operate in the real world alongside real people. We’re not demoing it - we’re shipping it. We’re excited to meet you, if this excites you.

If you’ve spent your career working on problems that matter and want to see them actually reach the world - this is that moment. We’re scaling, we’re hiring with intention, and we need people who want to build something that will genuinely change how humans spend their time - safely creating abundance for all.

About the Team

The Core team builds and owns the core C++ infrastructure that NEO’s entire stack runs on sensor pipelines, motor control interfaces, inter-process communication, and the foundational libraries that ship on every robot. Our code executes thousands of times per second on hardware moving through the real world, and its correctness and performance directly determines what every other team can build and ship. If you want to work on the systems layer that makes physical AI possible at scale, this is that team.

Your Charter

Own the foundational C++ infrastructure that NEO’s brain and nervous system depend on ensuring it is fast, deterministic, and reliable as we scale from prototypes to thousands of robots in homes and warehouses. This is critical-path work: the latency, correctness, and maintainability of sensor pipelines, motor control loops, and IPC layers directly determines what the perception, planning, and controls teams can ship. Every clean interface introduced, every regression caught, and every millisecond saved here multiplies across every robot we deploy.

Key Outcomes

Own and continuously improve real-time C++ infrastructure: sensor pipelines, motor control interfaces, deterministic scheduling such that dependent teams can build on it without hitting foundational performance or reliability blockers

Establish performance as a measurable standard: deliver benchmarking, flamegraph tooling, and regression tracking that catches latency or throughput drift before it reaches production

Build the IPC and serialization layer connecting perception, planning, and actuation: lock-free queues, memory pools, shared-memory buffers with clean interfaces that other engineers trust and build on

Ship foundational libraries that run reliably on thousands of robots in homes and warehouses, not just prototypes in the lab

Key Competencies

Thinks in cycles, cache lines, and budgets designing systems around latency, memory, and bandwidth constraints and can explain exactly where time and memory go under load

Deep Linux and systems fluency debugging across toolchain, ABI, kernel interfaces, and cross-compilation; uses profiling, tracing, and assembly inspection as everyday tools, not last resorts

Interface-first thinker writing code with clear contracts, minimal dependencies, and obvious correctness that other engineers reach for when building higher-level systems

Reliability-oriented under pressure shipping real-time systems where failure has physical consequences, and treats deterministic behavior and clean failure modes as engineering requirements, not afterthoughts

Minimum Requirements

5+ years shipping production C++ in performance-critical systems: robotics, autonomous vehicles, HFT, game engines, OS/runtime, compilers, or HPC

Demonstrated ability to profile, benchmark, and debug at the systems level: flamegraphs, perf counters, assembly inspection, and Linux kernel interfaces

Proven track record of writing systems code other engineers build on clean interfaces, minimal dependencies, deterministic behavior under load

Source · 1XFirst seen 2 Nov1 editsOriginal ↗