# Systems Engineer at Deft AI

> Onsite · United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Adeft-ai%3Ad1b165d2-b44f-4e45-9d83-b23ea50464b2 (read 2026-11-04).

## Facts (observed)

- Company: [Deft AI](https://alderhq.app/companies/deft-ai)
- Location text: San Francisco
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco")
- Posted: 2026-04-15 (203 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-03
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/deft-ai/d1b165d2-b44f-4e45-9d83-b23ea50464b2
- Skills listed (inferred): Python, C++, Distributed systems

## Pay and sponsorship

- Posted pay: $100k–$200k per year (from the listing's pay field)
- Market band for similar posted roles (SF Bay Area, n 1495): p25 $161k, median $200k, p75 $247k

## Description (the employer's text)

### What You'll Do

● Develop and maintain core software infrastructure supporting the robot data collection stack.

● Improve reliability and performance across the robotics software stack by diagnosing system bottlenecks and failure modes.

● Implement and maintain software libraries and device drivers for new sensor suites and in-house hardware modules.

● Contribute to systems that support safe robot operation, including monitoring, detection, and guardrails to prevent unsafe interactions.

● Develop testing infrastructure for robotics software, including unit, integration, and regression testing frameworks.

● Build the observability layer for robotic systems, including telemetry, logging, and diagnostics.

● Design and implement fleet management infrastructure, including robot health monitoring, software updates, staged rollouts, and rollback mechanisms.

### Required Qualifications

● Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related technical field, or equivalent practical experience.

● Strong programming experience in C/C++ and familiarity with Python.

● Experience developing software for Linux-based systems, including multi-threaded programming, memory management, and performance optimization.

● Experience diagnosing and resolving reliability or performance issues in complex software systems.

● Experience working with hardware–software interfaces, such as sensors, embedded devices, or networking hardware.

● Strong understanding of systems fundamentals, including operating systems, networking, and concurrent programming.

● Ability to design and implement reliable systems that interact with hardware and real-world environments.

### Preferred Qualifications

● Experience developing production software for robotics systems or other hardware-interfacing platforms.

● Experience working with embedded or edge computing environments.

● Experience with Linux systems internals, including kernel development, driver development, or low-level performance profiling.

● Experience designing or operating distributed systems or cloud infrastructure.

● Experience building systems for monitoring, observability, or remote diagnostics in deployed environments.

● Experience working with embedded Linux build systems such as Yocto or similar tools.

● Evidence of building or contributing to complex systems projects, such as open-source infrastructure, research systems, or publications at top systems venues.

### Hiring Process

● Phone screen + 3 virtual technical interviews + onsite

### Expected Compensation

● $100,000 - $200,000 annual salary + cash and stock awards + benefits

● The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Adeft-ai%3Ad1b165d2-b44f-4e45-9d83-b23ea50464b2 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.