Etched · 4 days ago
Supercomputing Engineer (Network)
San Jose, CA
Full-time
Onsite
Mid, Senior Level
$150K/yr - $275K/yrEtched is building the world’s first AI inference system purpose-built for transformers, and they are seeking highly motivated and skilled Supercomputing Engineers (Network) to join their team. This role focuses on developing, qualifying, and optimizing high-performance networking solutions for large-scale inference workloads, collaborating closely with various teams to enhance communication efficiency among inference nodes.
AI InfrastructureArtificial Intelligence (AI)ComputerHardwareSemiconductor
Responsibilities
High Performance Peer to Peer Networking: Design, develop, and implement RDMA based networking peering, supporting high bandwidth, low latency communication across PCIe nodes within and across racks. Includes work across Operating System, kernel drivers, embedded software and system software
Test Development: Develop tests that qualify host processors (x86),. NICs, TORs and device network interfaces for high performance
Burn-in integration: Furnish burn-in teams with tests that represent both real-world use cases and workloads for device to device networking, and extreme-load stress testing
Performance/Health Telemetry Design: Define the key metrics that system software must collect to maintain high availability and performance under extreme communications workloads
Analyze performance deviations, optimize network stack configurations, and propose kernel tuning parameters for low-latency, high-bandwidth inference workloads
Design and execute automated qualification tests for RDMA NICs and interconnects across various server configurations
Identify and root-cause firmware, driver, and hardware issues that impact RDMA performance and reliability
Collaborate with ODMs and silicon vendors to validate new RDMA features and enhancements
Implement and validate peer RDMA support for GPU-to-GPU and accelerator-to-accelerator communication
Modify kernel drivers and user-space libraries to optimize direct memory access between inference pods
Profile and benchmark inter-node RDMA latency and bandwidth to improve inference job scaling
Optimize NIC and switch configurations to balance throughput, congestion control, and reliability
Qualification
Required
Proficiency in C/C++
Proficiency in at least one scripting language (e.g., Python, Bash, Go)
Strong experience with device-to-device networking technologies (RDMA, GPUDirect, etc.), including RoCE
Experience with zero-copy networking, RDMA verbs and memory registration
Familiarity with queue pairs, completions queues, and transport types
Strong understanding of operating systems (Linux preferred) and server hardware architectures
Ability to analyze complex technical problems and provide effective solutions
Excellent communication and collaboration skills
Ability to work independently and as part of a team
Experience with version control systems (e.g., Git)
Experience with reading and interpreting hardware logs
Preferred
Experience with networking technologies like NVLink, Infiniband, ML Pod interconnects
Experience with widely deployed Top of Rack Switches (Cisco, Juniper, Arista, etc.)
Knowledge of server virtualization
Experience with tracing tools like perf, eBPF, ftrace, etc
Experience with performance testing and benchmarking tools (gProf, vTune, Wireshark, etc.)
Familiarity with hardware diagnostic tools and techniques
Experience with containerization technologies (e.g., Docker, Kubernetes)
Experience with CI/CD pipelines
Experience with Rust
Benefits
Full medical, dental, and vision packages, with generous premium coverage
Housing subsidy of $2,000/month for those living within walking distance of the office
Daily lunch and dinner in our office
Relocation support for those moving to West San Jose
Company
Etched
Building the hardware for superintelligence
Founded in 2022
51-200 employees
H1B Sponsorship
Etched has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
2024 (11)
2023 (1)
Funding
Current Stage
Growth StageTotal Funding
$625.36MKey Investors
StripesPrimary Venture Partners
2026-01-14Series Unknown· $500M
2024-06-25Series A· $120M
2023-05-16Seed· $5.36M
Leadership Team
Chris Zhu
Co-Founder
Robert Wachen
Co-Founder and President
Recent News
alleywatch.com
2026-01-20
2026-01-20
2026-01-16
Company data provided by crunchbase