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Posted 26 days ago

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Senior Solutions Architect / Sales Engineer, HPC & Computational Engineering

Sunnyvale, CARemote

AI Summary

Bolt Graphics seeks a Senior Solutions Architect / Sales Engineer to partner with the commercial team on strategic customer engagements for a new HPC compute architecture. The role leads technical discovery, workload analysis, benchmarking, and proof-of-concept coordination with HPC teams, researchers, and engineering leaders to validate technical fit and drive deployment.

About this role

About the role:

Bolt is looking for a seasoned, highly technical customer-facing Solutions Architect/Sales Engineer to partner closely with our Business Development team as we bring a newcomputearchitecture to market.

This person will serve as the technical counterpart to our commercial team, working directly with engineering leaders, researchers, HPC teams, and other sophisticated technical customers to understand their workloads, evaluate where Bolt's architecture can create meaningful advantages, and design the technical path from initial discovery through benchmark, evaluation, and deployment.

This is not a traditional pre-sales demo role. Bolt is introducing fundamentally newcomputetechnology, and many customer engagements will require deep technical discovery, workload analysis, benchmarking, and collaboration with Bolt's engineering organization.

We are particularly interested in candidates with experience in HPC, computational science/engineering, electromagnetic simulation, GPU acceleration, scientific computing, or adjacent compute-intensive workloads.


What you'll do:

  • Partner directly with Bolt's commercial lead on strategic customer engagements
  • Lead technical discovery with customer engineering, HPC, research, and infrastructure teams
  • Understand customers' existing workloads, compute environments, bottlenecks, performance requirements, and deployment constraints
  • Identifyworkloads where Bolt's architecture could provide meaningful performance or cost-performance advantages
  • Translate customer requirements into clear technical requirements for Bolt's engineering organization
  • Design and coordinate benchmarks, technical evaluations, proofs of concept, and workload validation
  • Help customers understand Bolt's architecture and how it compares with existing CPU/GPU-based approaches
  • Answer sophisticated technical questions from customers and partners
  • Work across customer teams and Bolt engineering to resolve technical blockers
  • Helpdeterminewhether an opportunityrepresentsgenuine technical fit before significant engineering resources are committed
  • Develop technical materials, reference architectures, benchmark methodologies, and customer-facing documentation
  • Support technical discussions with strategic partners, national laboratories, government organizations, enterprises, and ecosystem partners
  • Represent Bolt at relevant HPC, simulation, semiconductor, and technical industry events
  • Bring customer and market feedback back into product and engineering strategy

Qualifications:

  • 8+ years of relevant experience in solutions architecture, sales engineering, field applications engineering, HPC engineering, scientific computing, computational engineering, or a related field
  • Strong understanding of HPC architectures and compute-intensive workloads
  • Experience working with GPUs, accelerators, CPUs, heterogeneous computing, or high-performance computing systems
  • Experience engaging directly with seasoned technical customers
  • Ability to understand a customer's workload andidentifywhere performance bottlenecksoccur
  • Strong knowledge of benchmarking and performance analysis
  • Ability to communicate complex architecture and performance concepts clearly to both engineers and executives
  • Comfortable operating between commercial and engineering organizations
  • Strong technical judgment and willingness to say when a workload is not a good fit
  • Comfortable working in an early-stage environment where technical and commercial processes are still being developed
  • Willingness to travel for strategic customer engagements


Highly Desired Qualifications:

  • Computational electromagnetics/electromagnetic simulation
  • FDTD, FEM,MoMor related numerical simulation methods
  • HPC simulation workloads
  • CUDA, GPUprogrammingor accelerator optimization
  • C/C++ and/or Python
  • Parallel computing
  • MPI and distributed computing
  • Performance profiling and optimization
  • Large-memory scientific workloads
  • HPC clusters and high-speed interconnects
  • Experience with national laboratories, aerospace/defense, scientific computing organizations, or major HPC environments
  • Experience with commercial simulation software and/or internally developed scientific codes
  • Examples of relevant domain exposure could include electromagnetic simulation, computational physics, computational fluid dynamics, EDA, seismic/geophysical simulation, weather/climate modeling, rendering, or other highly compute-intensive scientific workloads.

What Success Looks Like

You become the trusted technical counterpart to Bolt's commercial organization.

When a customer says, “Here is the workload we're running today,” you can quickly helpdetermine:

  1. Whether Bolt is technically relevant;
  1. Where the potential advantage comes from;
  1. What information is needed tovalidateit;
  1. What benchmark or evaluation should be run;
  1. What engineering work isrequired; and
  1. Whattechnical milestones need to be achieved before the opportunity can progresscommercially.

You will help ensure Boltconcentrates onengineering and commercial resources on opportunities where the technology can deliver meaningful customer value.

Growth Opportunity

This is an early and highly influential customer-facing

Skills

BenchmarkingC/C++Computational ElectromagneticsComputational Fluid DynamicsCUDAElectromagnetic SimulationFDTDFEMGPU AccelerationHeterogeneous ComputingHigh-speed InterconnectsHPC ArchitecturesHPC ClustersLarge-memory Scientific WorkloadsMOMMPIParallel ComputingPerformance ProfilingPython

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