Senior Platform Engineer

Neros Technologies; Torrance (CA); On-site; USD 164,000 - 229,000; Full time

Job summary

Neros Technologies in Torrance, CA is seeking a Senior Platform Engineer to build the onboard software platform for our autonomy stack. You will work in the Autonomy Platform & Runtime team, handling runtime, middleware, real-time scheduling and data delivery for imagery and inertial streams.

The role requires 5+ years in production embedded/real-time software, expert C++ on embedded Linux, and Python for tooling. Knowledge of ROS 2, DDS, Zenoh, LCM is important.

Qualifications

• 5+ years of embedded, robotics or real-time software experience.
• Delivery on physical vehicles or embedded platforms, not just simulation.
• Proficient in modern C++ on embedded Linux; strong Python tooling.
• Hands-on in ROS 2, DDS, Zenoh, LCM or equivalents.

Responsibilities

• Build and maintain the onboard software platform for the autonomy stack.
• Own real-time scheduling, latency accounting, and end-to-end timing.
• Develop high-rate on-vehicle logging with robust data integrity.
• Implement hardware time-stamping and cross-sensor synchronization.
• Support lab bench and field test operations, fixing platform issues.

Skills

C++ on embedded Linux

Python for tooling

Real-time systems engineering

ROS 2 / DDS / LCM

Tools

ROS 2

DDS

Zenoh

LCM

Job description

Neros is a defense technology company rebuilding America’s drone industrial base. We design and manufacture high-performance unmanned systems that are tested in combat, iterated at startup speed, and built at massive scale. Our team culture is fast, hands-on, and obsessed with closing the gap between design and deployment.

As drones transform the character of warfare, Neros is delivering the systems the West needs to compete on the modern battlefield and deter the adversaries of democracy. We’re hiring engineers, operators, and builders who want to move fast, take on extreme ownership, and get capability into the hands of warfighters in months, not years.

What you will be doing

The Senior Platform Engineer builds the onboard software platform on which all Neros autonomy software runs. Working within the Autonomy Platform & Runtime team, this role is responsible hands-on for runtime and middleware integration, real-time scheduling and latency accounting, high-rate on-vehicle logging, hardware time-stamping and time synchronization, and the layer that delivers imagery and inertial data into the autonomy stack.

Responsibilities

• Implement and maintain the autonomy runtime and middleware integration layer, including module interfaces, process and thread structure, message passing and execution rates, that all other autonomy software is developed against
• Own real-time scheduling, latency accounting and deadline monitoring on target hardware, including end-to-end sensor-to-actuator latency measurement under sustained thermal load, and deliver the instrumentation required for latency to be enforced as a release gate
• Design and implement high-rate on-vehicle logging, including ring buffer and triggered capture, multi-sensor and video streams, storage and bandwidth budgeting, and log integrity verification, without degrading control loop timing
• Implement hardware time-stamping and time synchronization across sensors, mission compute and flight controller, and ensure clock domains and synchronization state are represented in logged data such that flight logs support deterministic replay
• Support hardware-in-the-loop bench infrastructure and field test operations, including on-site flight test support, and resolve platform-level timing, logging and integration defects identified in flight data

You should have the following

• 5+ years of professional experience developing production embedded, robotics or real-time software, with a track record of individual technical delivery on systems that operate outside a laboratory
• Demonstrated delivery of software onto a physical vehicle or embedded platform, such as unmanned aircraft, ground or aerial robotics, autonomous vehicles, automotive or aerospace systems, including responsibility through bring-up, integration and field operation rather than simulation or research alone
• Expert proficiency in modern C++ on embedded Linux, and working proficiency in Python for tooling, analysis and automation, developed under real-time and resource-constrained requirements
• Hands-on development within a robotics or vehicle software runtime or middleware layer, covering inter-process communication and message passing, module interface definition, process and thread structure, and execution scheduling, using ROS 2, DDS, Zenoh, LCM, or a proprietary equivalent
• Depth in real-time systems engineering, including scheduling policies and priorities, CPU affinity and isolation, lock-free or zero-copy data paths, jitter and deadline analysis, and measurement of end-to-end latency distributions on target hardware rather than in simulation
• Experience building high-rate on-vehicle data logging, including ring buffer and triggered capture, multi-sensor and video streams, storage and bandwidth budgeting, and log integrity, delivered without degrading control loop timing
• Experience implementing time synchronization and hardware timestamping across sensors, compute and a flight or vehicle controller, using PTP or gPTP, PPS, sensor trigger lines, or equivalent, and reconciling multiple clock domains in logged data
• Experience developing and debugging sensor drivers and data paths for cameras and inertial sensors, including interfaces such as MIPI CSI-2, GMSL, USB3 Vision, GigE Vision, SPI or I2C, and management of calibration data alongside the sensor streams it applies to

Nice to have

• Unmanned aircraft experience specifically, including integration between an onboard mission computer and a flight controller or autopilot using PX4, ArduPilot and MAVLink or a proprietary equivalent, and familiarity with arming logic, flight modes and failsafe behavior at that boundary
• Experience with thermal or other non-visible imaging payloads, including sensor selection support, driver bring-up, and the calibration and data-handling differences relative to visible-spectrum cameras
• Design or build of hardware-in-the-loop benches, including sensor simulation and injection, hardware timestamp instrumentation, and integration of a HIL bench into automated release gating
• Experience supporting deterministic log replay for downstream evaluation, including log schema design, provenance and versioning of recorded data, and reconciling recorded sensor timing with offline ground truth such as RTK GNSS post-processing

US Salary Range

$163,500 – $228,500 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are considered part of Neros' total compensation package.

We’re an equal opportunity employer. We welcome all applicants without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Neros Technologies’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A \"disabled veteran\" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A \"recently separated veteran\" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An \"active duty wartime or campaign badge veteran\" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An \"Armed forces service medal veteran\" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.