Customer Engineer

MM073020254
  • $215,000-$250,000
  • Mountain View, CA
  • Permanent

Acceler8 Talent is partnering with a Bay Area-based startup that’s building the critical infrastructure to revolutionize the performance and scalability of next-gen distributed computing systems. Backed by top-tier investors and led by industry veterans, this team is already behind some of the most impactful advancements in today's AI and data center networking.

 

 

They’re now looking for a Principal Customer Engineer to join their world-class technical team. This is a hands-on, customer-facing role where you’ll serve as the technical bridge between engineering and real-world deployment.

 

 

In this role, you’ll:

  • Represent and evangelize     cutting-edge networking products to enterprise and hyperscale customers  
  • Own all aspects of customer     engagement (demos, proofs of concept, deployment architecture,     hardware/software integration, performance tuning, post-deployment     support, etc.)  
  • Collaborate closely with     internal ASIC, system, and software engineering teams to deliver scalable,     production-ready solutions 
  • Develop tools, documentation,     and presentations that help customers deeply understand and adopt the     technology  
  • Troubleshoot complex     distributed system environments onsite and remotely

 

 

This may be a good fit if you have:

  • 5+ years in customer-facing     engineering roles, including pre-sales, post-sales, and field deployment
  • 3+ years in ASIC, software,     or system-level development
  • Deep familiarity with Data     Center, HPC, and AI/ML networking and architectures
  • Knowledge of RDMA, NICs,     switches, and kernel/user space networking stacks
  • Proficiency in C/C++ and     Python
  • Experience debugging     large-scale cluster deployments
  • Ability to operate     confidently across ASIC, system, and application layers
  • Strong communication and     documentation skills; comfortable presenting to both engineering and     executive audiences
  • Familiarity with AI/ML     frameworks (e.g., PyTorch, TensorFlow) and communication libraries (NCCL,     RCCL) is a plus
Mia Macdonald Semiconductor & Chip Design Recruiter

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