Systems Software Engineer - Marvis Minis & Edge AI

This team owns the Minis platform end-to-end: the embedded agent, cloud data pipelines, SLE classifiers, and integrations with Marvis Actions and the Large Experience Model. You'll work across this stack - contributing to features, debugging cross-layer issues, and growing your expertise in both embedded and cloud systems.

This role will require being on site in Cupertino 2+ days a week

What You'll Do

• Develop and test Minis features across embedded (AP firmware, switches, gateways, via sandboxed test execution) and cloud (data pipelines, SLE classifiers, REST APIs)

• Write and maintain Minis tests - network and application validation tests such as DNS, DHCP, ping, MTR that run on networks like APs, switches, gateways and report results to the cloud via Kafka

• Debug cross-layer issues - troubleshoot problems that span AP firmware, cloud services, and data pipelines (e.g., why a downloadable mini fails on specific AP models, why SLE classifiers show incorrect data)

• Contribute to cross-platform expansion - help extend Minis to switches and WAN edge devices, working with peer dev teams

• Build and improve cloud services - work on Storm topologies, Airflow DAGs, Redis caching, Elasticsearch queries, and Kafka consumers that process millions of Minis test results

• Participate in production operations - monitor rollouts of features and respond to customer-reported issues

• Collaborate with senior engineers, the data science team, QA, and firmware teams

• 4+ years of professional software engineering

• 2+ year Go, C, or Python: This experience should be hands-on development in at least two of the following: Go, C, or Python - meaning you have written, reviewed, tested, and shipped code in these languages in a team environment, not just coursework or personal projects. You should be able to read and contribute to an existing codebase of moderate complexity in these languages.

• 2+ years working on Linux-based systems. Linux proficiency: Should be comfortable working in a Linux environment daily - you can write shell scripts, navigate the filesystem, use debugging tools (gdb, strace, tcpdump), manage processes, and understand file permissions and basic networking configuration (interfaces, routing, iptables).

• Networking fundamentals: Understanding of TCP/IP, DNS, DHCP, and HTTP - sufficient to explain how a client obtains an IP address, resolves a hostname, and makes an HTTP request, and to interpret packet captures or traceroute output when debugging issues

• 1+ year of Cloud or distributed systems: experience with at least one of: message queues (Kafka, MQTT), stream processing (Storm, Flink), REST API development, or containerized deployments (Docker) - through professional work, not just tutorials

• 1+ year of Version control and CI/CD: Comfortable working in a Git-based workflow with pull requests, code reviews, and CI pipelines - you have used this in a team setting for at least 1 year

• Education: BS in Computer Science, Electrical Engineering, or a related technical field

Preferred Qualifications

Experience with embedded Linux development - cross-compilation, on-device debugging, resource-constrained environments

• Exposure to data pipeline tools: Apache Storm, Airflow, Redis, Elasticsearch

• Familiarity with AI/ML concepts - model inference, data preprocessing, or signal processing

• Experience with wireless networking, AP hardware, or IoT protocols

• Experience with production monitoring, alerting, and incident response

• Familiarity with Python data tools (Pandas, NumPy) or JSON data processing

Who Thrives Here

• Problem solvers - you dig into logs, packet captures, and code until you find the root cause

• Self-starters - you take initiative and don't wait to be told what to work on next

• Collaborators - you communicate clearly (especially in writing) and ask good questions

• Learners - you're excited about growing across embedded and cloud, not staying in one lane

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.

• United States of America: Annual Salary USD 120,500 - 243,000 in California The listed salary range reflects base salary. Variable incentives may also be offered."

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