Forward Deployed Systems Engineer

Etched

San Jose, CAOn-siteFull time
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Pay
$150K to $240K
a year
Location
San Jose, CA
Work style
On-site
Job type
Full time
Posted
Oct 28
2 days ago
Career path

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About the company

Etched

Computer hardware · 11 to 50 employees

Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors.

Etched on LinkedIn

What you'll do

  • Drive deployments with customers and internal teams to identify risks and establish success criteria
  • Debug and resolve system-level issues across hardware, firmware, drivers, Linux OS, and networking stacks
  • Perform root-cause analysis on field issues and partner with engineering teams to reproduce issues and ship fixes
  • Build and maintain diagnostics, monitoring/telemetry, and dashboards
  • Coordinate firmware updates, hotfixes, and configuration changes
  • Create and maintain deployment runbooks, escalation playbooks, and field service guides
  • Improve deployment workflows, metrics, and best practices

What you need

  • Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or related field, or equivalent practical experience
  • Experience supporting datacenter customers in systems, networking, AI infrastructure, or field engineering roles
  • Deep experience with Linux/Unix installation, configuration, debugging, and performance tuning
  • Strong networking fundamentals including TCP/IP, RDMA, and low-latency Ethernet
  • Hands-on experience with high-speed networking such as 100GbE / 400GbE
  • Ability to diagnose performance and integration issues across hardware, OS, and networking layers
  • Travel up to 30% to customer sites for deployments, on-site debugging, and launch support

Key skills

Linux/UnixTCP/IPRDMAlow-latency Ethernet100GbE / 400GbEperformance tuningBMC experiencetelemetry/monitoring systemsRMA/failure analysisroot-cause analysis

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Perks

  • Medical, dental, and vision packages
  • Housing subsidy
  • Relocation support
  • Wellness benefits
  • Daily lunch and dinner
  • Unlimited compute budget

See full description on company page, apply now

Read the full posting here
About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary As a Forward Deployed Systems Engineer (Datacenter), you will work hands-on in large-scale datacenter environments to bring up, validate, and debug Etched accelerator-based systems. You’ll own customer deployment execution end-to-end, solve complex hardware/software/networking issues under real-world constraints, and build the tooling and processes that make deployments scalable and repeatable. Key Responsibilities Technical problem solving & diagnostics - Drive deployments with customers and internal teams to identify risks and establish success criteria - Debug and resolve system-level issues across hardware, firmware, drivers, Linux OS, and networking stacks - Perform root-cause analysis on field issues and partner with internal engineering teams to reproduce issues and ship fixes - Build and maintain diagnostics, monitoring/telemetry, and dashboards to improve visibility into system health Firmware & system updates - Coordinate firmware updates, hotfixes, and configuration changes to improve reliability and unblock customer deployments - Manage update rollouts with minimal downtime and clear communication to customers and internal teams Documentation & knowledge management - Create and maintain deployment runbooks, escalation playbooks, known-issues documentation, and field service guides - Capture structured learnings from deployments and convert them into repeatable processes Cross-functional collaboration - Partner with firmware/software/hardware engineering teams to drive reliability improvements - Collaborate with Deployment, RMA, Sustaining Engineering, and Support teams to ensure smooth handoffs and long-term supportability Process improvement & scaling - Improve deployment workflows, metrics, and best practices to reduce deployment risk, time, and cost - Identify patterns across deployments and drive process/tooling improvements that scale across customers You may be a good fit if you have - Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent practical experience) - Experience supporting datacenter customers in systems, networking, AI infrastructure, or field engineering roles - Deep experience with Linux/Unix installation, configuration, debugging, and performance tuning - Strong networking fundamentals including TCP/IP, RDMA, and low-latency Ethernet Hands-on experience with high-speed networking such as 100GbE / 400GbE - Strong ability to diagnose performance and integration issues across hardware + OS + networking layers BMC experience, telemetry/monitoring systems, RMA/failure analysis exposure - Travel up to 30% to customer sites for deployments, on-site debugging, and launch support Benefits - Medical, dental, and vision packages with generous premium coverage - $500 per month credit for waiving medical benefits - Housing subsidy of $2,500 per month for those living within walking distance of the office - Relocation support for those moving to San Jose (Santana Row) - Various wellness benefits covering fitness, mental health, and more - Daily lunch and dinner in our office - Unlimited compute budget subject to ROI justification How we’re different Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

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