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Viasat, Inc.
Staff Systems Engineer
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Based on California data
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What they do
A Systems Engineer creates computer and data communication networks for companies and organizations. Plans and designs layout for a network, determines the hardware needed and placement of computers, servers, cables and routers; determines data storage, system capacity, and speed.
$152,997 / year median in California
-7% projected decline
Job Description
About us One team. Global challenges. Infinite opportunities. At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We're looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team. What you'll do The Access Edge Platform team builds and operates the Wi-Fi and content experience used by passengers on the world's leading airlines. As a Staff Systems Engineer, you will own the engineering integrity of the platform across its full lifecycle
- from requirements and architecture through implementation, verification, release, and field operation.
- taking into account CPU, storage, and memory limitations
- while balancing platform capabilities with customer commitments and long-term maintenance.
- our current platform spans embedded Linux, distributed storage, Kubernetes-based workloads, wireless and authentication infrastructure, and low-level hardware interfaces Practical grounding in systems engineering discipline
- requirements traceability, verification and validation, configuration management, and change impact analysis
- applied pragmatically in fast-moving Agile product teams rather than as a heavyweight process Proven ability to instrument and analyze running distributed systems to close long-open field investigations at true root cause Experience defining verification strategy and test infrastructure for systems where hardware, software, and operational behavior interact
- including hardware-in-the-loop or integration test environments Track record of reducing operational toil by converting repeated manual intervention into automated, self-healing systems Strong analytical skills
- ability to read and reason about complex existing codebases and drive changes that reduce fragility Ability to communicate engineering risk, readiness, and trade-offs clearly to both technical teams and leadership What will help you on the job Ability to navigate ambiguity while making the progress Instinct for finding patterns across unrelated incidents Architectural decisions to identify structural weaknesses Relentless focus on raising the system quality bar #LI-GS1 Salary range $180,500.
- $285,000.00 / annually. For specific work locations within San Jose, the San Francisco Bay area and New York City metropolitan area, the base pay range for this role is $224,500.00
- $336,500.
Qualifications:
Master's or Bachelor's degree in Systems Engineering, Computer Science, Computer Engineering, or equivalent experience 15+ years of hands-on systems software engineering, with demonstrated Staff-level scope: architectural ownership, cross-team influence, and resolution of production incidents at the root-cause level Ability to rapidly understand complex platform technologies and become the technical owner of system-level problems across software, infrastructure, and embedded hardware- our current platform spans embedded Linux, distributed storage, Kubernetes-based workloads, wireless and authentication infrastructure, and low-level hardware interfaces Practical grounding in systems engineering discipline
- requirements traceability, verification and validation, configuration management, and change impact analysis
- applied pragmatically in fast-moving Agile product teams rather than as a heavyweight process Proven ability to instrument and analyze running distributed systems to close long-open field investigations at true root cause Experience defining verification strategy and test infrastructure for systems where hardware, software, and operational behavior interact
- including hardware-in-the-loop or integration test environments Track record of reducing operational toil by converting repeated manual intervention into automated, self-healing systems Strong analytical skills
- ability to read and reason about complex existing codebases and drive changes that reduce fragility Ability to communicate engineering risk, readiness, and trade-offs clearly to both technical teams and leadership