Engineering Manager (Embedded)

Distributed Spectrum•New York, NY

23h•$200,000 - $300,000•Onsite

About The Position

DS creates systems that power the next generation of radio spectrum intelligence. We collect radio data from all over the world, train neural networks to decipher it, and run them on the smallest chips we can. We’re solving a new, technically hard problem where nothing from other fields works out of the box, and along the way, we’ve built our own stack from scratch, including entirely new embedding model architectures, custom GPU kernels, and much more. Joining DS means owning major parts of a fast-growing AI research organization, joining a collaborative, talent-dense team with decades of experience in probabilistic ML, accelerated computing, embedded systems, and signal theory, and growing your career in the areas that interest you. You’ll fit in if you want to come to work for the problem itself and don’t want to choose between technical rigor, business value, and real-world impact. We work with high ownership and trust. The Role We are hiring an Engineering Manager (Embedded) to lead the team that builds the software running on our sensors. This is the team accountable for everything that happens on the device: the embedded Linux platform, the interfaces to our hardware, the runtime that executes our models on the smallest chips we can, and the reliability of every unit we have deployed in the field. This is a people-leader-first, technically-deep role. You are not expected to be writing production code day to day. You are expected to be technical enough to own the architecture alongside your team, review a design and find the thing that will break in the field, hold a line on a decision about memory, timing, or hardware interaction, and be trusted by your engineers as a technical peer rather than a coordinator. Our product operates where embedded systems, machine learning, and hardware meet the real world. Decisions about memory, power, thermal budget, timing, and connectivity surface directly in what the customer experiences. There is no clean separation between the device and the product, and the constraints of the sensor are the constraints of the business. This is an on-site role with our in-person NYC team.

Requirements

Has led embedded, firmware, or systems engineers, and wants to keep leading them
Came up as a strong embedded or systems engineer and never lost the instinct
Thinks in systems, not just frameworks, and knows how the OS, memory, hardware, and network interact
Can hold a technical position with a senior engineer without writing the code yourself
Has shipped software onto hardware that lives somewhere you cannot reach
Is comfortable with hardware timelines, board revisions, and problems that are still bein defined
Is eligible for a United States Security Clearance
Embedded Linux (kernel space and user space) or real time operating systems
C, C++, and Python
Yocto, Buildroot, or other embedded Linux toolchains
Docker, systemd, or other service orchestration mechanisms
IP networking fundamentals and system-level debugging on constrained devices
Communication protocols such as SPI, I2C, UART, and Ethernet
Build systems, packaging, OTA and deployment, and CI/CD for hardware targets
How hardware and software interact in embedded systems, and how to run that boundary with a hardware team
How systems fail under memory, power, thermal, and networking pressure
How to design software that cannot assume constant connectivity
What it takes to update, debug, and trust a fleet you cannot physically touch

Nice To Haves

Experience with software that takes advantage of hardware accelerators (FPGA, DSP, GPU)
Experience deploying machine learning models to constrained edge compute
Familiarity with Rust, Golang, or Systemverilog
Familiarity with the fundamentals of signal processing, machine learning, computer vision, or related disciplines
Experience with Electronic Warfare Systems, Radar, Software Defined Radio, or related domains
Possession of a US Secret or higher clearance

Responsibilities

The embedded and edge software platform: embedded Linux, the build and image toolchain, service orchestration, and the software running on every sensor we ship
The hardware and software boundary: board bring-up, driver and interface work, and the path from a new hardware revision to shipping software
On-sensor model deployment: the runtime, tooling, and pipeline that get our models onto constrained compute and keep them fast
Field and deployment reliability: OTA updates, fleet health, and what actually happens on hardware nobody can physically touch
The embedded roadmap and its execution, tied to annual company goals
A team of embedded software engineers you will coach, develop, and hire