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Forward Deployed Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: turbalance
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing, IT Support, Technical Support
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

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Turbalance AI is an innovative, emerging startup that transforms AI laws. We are a team of passionate problem-solvers who believe in what we’re building. We constantly push boundaries and embrace our inner nerds as we find new ways to tackle complex challenges. You will find a dynamic work environment here, with flat or even nonexistent hierarchies and the chance to take on responsibility from day one.

About

the Role

We're looking for a Forward Deployed Engineer to join our growing team! In this role, you'll be a key technical partner for our customers across the entire customer lifecycle—from pre-sales technical support through onboarding, implementation, and ongoing enablement. If you're a technically versatile problem-solver with a passion for helping customers succeed and want to build a great company, we want to hear from you.

We're looking for candidates who can grow across both domains:

  • Infrastructure & Dev Ops Focused: Strong in infrastructure design, Dev Ops, software development, and performance analysis. Experience integrating products into mission-critical infrastructure with fluency in SLAs, system design, and incident response.
  • Systems & Network Processing Focused: Focused on network processing, data flows, device/system software design, and hardware integration. Background working with high-performance middleware or analytical software.
What You'll Do
  • Guide customers through onboarding, ensuring they are fully prepared and proficient in using our solutions
  • Conduct training sessions and develop enablement materials tailored to customer needs
  • Proactively identify opportunities for customers to maximize platform value
  • Act as a trusted technical advisor, offering best practices and solutions to common challenges
Technical Implementation & Support
  • Provide hands‑on support for solution setup and configuration within customer environments
  • Support API and system integrations with existing customer infrastructure
  • Diagnose and resolve technical issues, collaborating with engineering teams on complex problems
  • Troubleshoot connectivity, performance, and deployment challenges
Pre‑Sales Technical Support
  • Support the sales team with domain expertise and technical credibility
  • Demonstrate technical capabilities and solution fit during the sales process
  • Design integration approaches and implementation plans for prospective customers
Cross‑Functional Collaboration
  • Gather customer feedback and relay insights to product and engineering teams
  • Reduce workload on core engineering teams by handling customer‑facing technical work
  • Provide responsive, dedicated customer engagement to build long‑term relationships
What You'll Bring
  • Strong background working with diverse technology stacks, with ability to quickly learn and adapt to new technologies
  • Solid coding foundation with C++ and Python as must‑haves; demonstrable understanding of robust software development principles
  • Understanding of the interplay between software and hardware behavior and performance (GPUs, CPUs, networking)
  • Proficiency with Kubernetes for deploying, scaling, and managing containerized applications
  • Genuine desire to help customers achieve their goals, with excellent communication and interpersonal skills; prior experience in deep, durable customer‑facing technical roles
  • Ability to thrive in a fast‑paced, multidisciplinary, dynamic environment while managing multiple priorities
Bonus Points
  • Experience with additional programming languages (PyTorch, Rust, Go)
  • Familiarity with cloud platforms (AWS, Azure, GCP)
  • Experience with Open Stack and/or Slurm
  • Knowledge of network operating systems and hardware (Arista, Cisco, Mellanox) and network engineering (especially switching)
  • Familiarity with AI/HPC networking protocols (RoCE and/or Infini Band)
  • Demonstrable experience with performance characterization and profiling, especially for processors, memory systems, and networks
  • Experience with kernel debugging
  • Experience with LLM deployments, even at small scale
  • Background in infrastructure design, SLAs, system design, and incident response
  • Field Applications Engineering or similar hardware‑focused customer engineering…
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