Software Engineer - GNSS Systems (Tools, Test & Data)
Job Description
Do you want to be part of oneNav’s disruptive next-generation GNSS products that are resilient in the field? We are seeking a Software Engineer to support oneNav's Advanced Products & Systems team by building the software tools, test infrastructure, and data pipelines that power our GNSS solutions. This role is well suited to a strong, curious software engineer who can quickly get comfortable around RF/GNSS data and pick up domain concepts on the job and deliver high-impact solutions in a fast-paced environment.
\n
\n
- \n
- Location: Sunnyvale, California
- Type: Full-time
\n
\n
\n
\n
Responsibilities:
\n
- \n
- Build and maintain software that automates competitive receiver testing across jamming/spoofing waveforms and rolls results into standardized KPI tables
- Build tools to mine and process huge log files to visualize trends and performance
- Create internal dashboards, plots, and heatmaps that make receiver performance, test coverage, and countermeasure effectiveness easy to see for engineering, BD, and marketing stakeholders
- Write scripts and small applications that support the GNSS/RFI team's day-to-day workflow — log parsing, data ingestion, automation of repetitive analysis, lightweight internal apps
- Work closely with GNSS signal-processing engineers and the test team to turn loosely specified requests into reliable, reusable software
\n
\n
\n
\n
\n
\n
\n
Minimum qualifications:
\n
- \n
- BS in Computer Science, Software Engineering, Electrical Engineering, or equivalent
- 2+ years of professional or substantial internship/project software engineering experience
- Solid programming fundamentals in Python and at least one systems/compiled language (C/C++, Python, Go, Rust, etc.)
- Comfortable working with structured data and unstructured (CSV/JSON/binary logs) and building simple visualizations (e.g., Matplotlib, Plotly)
- Familiarity with version control (git) and basic software engineering practices (testing, code review)
- Strong problem-solving skills and willingness to learn RF/GNSS-adjacent concepts without prior domain expertise
\n
\n
\n
\n
\n
\n
\n
\n
Preferred qualifications:
\n
- \n
- Exposure to ML/AI development flow for training, inference, neural networks, pattern recognition, data correlation with physical phenomena
- Exposure to signal/sensor data, embedded systems, or scientific computing
- Experience building internal tools, dashboards, or test-automation frameworks
- Familiarity with SQL/data bases or lightweight data pipeline frameworks
- Interest in GNSS, RF, or navigation systems — no formal background required
\n
\n
\n
\n
\n
\n
\n
What We Offer:
\n
- \n
- A multicultural, international team and a collaborative, flat culture
- Project-based global work and exposure to cutting-edge L5-direct™ GNSS and AI technologies
- A true start-up environment with innovation time, fast decision-making, and direct access to leadership
- Career growth through regular development discussions, training, and high-visibility opportunities
- Competitive compensation with stock options to share in oneNav's long-term success
- Startup-style perks, team events, and a friendly, supportive environment
\n
\n
\n
\n
\n
\n
\n
\n
About the Team:
\n
oneNav is powered by a world-class group of GNSS innovators and engineers, bringing together leading talent from industry giants such as Qualcomm, Apple, Intel, SnapTrack, SiRF, and Trimble. Our team members have spent decades advancing the state of satellite navigation and mobile technology, contributing deep expertise in GNSS system architecture, multipath mitigation, advanced signal processing, ASIC development, and modern AI/ML techniques. Collectively, our engineers have authored more than 200 patents throughout their careers, underscoring a long history of driving breakthrough innovation in positioning technologies.
\n
\n
Backed by top-tier investors — including Norwest Ventures, GSR Ventures, and Google Ventures — oneNav combines technical excellence with strong industry support.
