5 network performance engineer jobs at 5 companies in Bedford, NH

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MES Engineer
Cambridge, Massachusetts, United States
$63k-$220k/yr OnsiteFull Time
Draper
Draper: Designs and develops advanced guidance and navigation technologies.
Experience maintaining MES systems in production, SECS/GEM and Eyelit MES familiarity preferred, cleanroom experience and 6S/Lean knowledge, ability to perform MES network setup, barcoding implementation, UAT/training; government security clearance required.
MES, Eyelit MES, SECS/GEM, 6S/Lean
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Senior Software Engineer, Subnet Management
Santa Clara or Westford
$184k-$357k/yr OnsiteFull Time
NVIDIA
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
8+ YOEBSc/MSc in Computer Engineering or Computer Science (or equivalent experience), 8+ years as a software engineer, proficient in C/C++, strong algorithms and data-structure skills, experience with networking and performance optimization is a plus.
C, C++, NVLink, InfiniBand
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Software Engineer (C++/Rust)
Boston or Salt Lake City or San Francisco or New York City
RemoteFull Time
Databento
Databento: Provides a pay-as-you-go financial market data platform.
5+ YOE5+ years software engineering experience; strong C/C++ or Rust skills; systems programming, multithreading, network I/O, and performance optimization experience; familiarity with lldb/gdb and CI/CD; good communication for remote work.
C/C++, Rust, lldb, gdb, CI/CD
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Senior Systems Engineer
Boston, Massachusetts, United States
OnsiteFull Time
VAST Data
VAST Data: Enterprise AI infrastructure and unified data platform.
5+ YOE5+ years supporting sales of enterprise storage to large IT organizations; expertise in storage products, distributed architectures, file systems (DAS/NAS/SAN), virtualization, high-performance networking, and enterprise security; strong presentation and communication skills.
1w
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Staff/Principal DevOps Engineer, AI Inference
Cambridge, Massachusetts, United States
$192k-$272k/yr OnsiteFull Time
Lila Sciences
Lila Sciences: Develops an AI platform for autonomous scientific research and discovery.
Expertise operating GPU/accelerator infrastructure for ML, Kubernetes and AWS deployment experience, infrastructure-as-code (Terraform, Helm), Python proficiency, networking and performance optimization for low-latency inference.
Kubernetes, vLLM, Triton Inference Server, TGI, Terraform, Helm, EKS, EC2, S3, EFA, IAM, NCCL, Python, Rust, Go, CUDA