Forward Deployed Engineer at Together AI

About Forward Deployed Engineering at Together AI

* Cluster Hardening \& Validation: Design and execute rigorous pre\-handover test suites (NCCL, DCGM, GPU Burn) to ensure clusters are stable under the extreme stress of multi\-node training. * Technical Partnership: Act as the primary technical point of contact for model labs, helping them tune their orchestration layer (Kubernetes or SLURM) for maximum throughput. * Infrastructure Optimization: Profile and debug low\-level bottlenecks in InfiniBand (IB) fabrics, NVLink topologies, and high\-performance storage systems. * Opinionated Onboarding: Build reference designs and "out\-of\-the\-box" Together AI is a research\-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co\-designing software, hardware, algorithms, and models. We have contributed to leading open\-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers on our

Companies like Together AI typically structure FDE teams around a build-team model, where engineers join an existing customer engineering function and deploy the product across a portfolio of accounts. Based on FDE Pulse data across 141 active postings, 55% of FDE roles are build-team positions and 12% are "first hire" situations where the engineer defines the function. Together AI's 1 active posting falls into the first hire category based on role count.

FDE roles across the market are 35% North America-focused based on 141 active postings. 55% of FDE roles are classified as growth hires, meaning the company is expanding its customer base rather than backfilling an existing position. This context matters for FDE candidates evaluating Together AI: growth hire roles often come with more pressure to ramp quickly but also clearer performance metrics tied to customer success.

What FDEs Do at Together AI

Forward Deployed Engineers at Together AI own the technical success of customer deployments. This means designing integration architectures specific to each customer's infrastructure, writing and maintaining production code that runs in customer environments, and serving as the primary technical point of contact for enterprise accounts. The role sits at the intersection of product engineering and customer success without being either.

Day-to-day work for an FDE at Together AI varies by customer complexity and deployment stage. In the early phases of a new customer engagement, FDEs focus on environment setup, data mapping, and building the first integrations. As deployments mature, the work shifts toward performance tuning, expanding use cases, and training customer teams on new capabilities. Some FDE roles also feed product insights back to internal engineering, effectively acting as a bridge between customer needs and the roadmap.

Career Path for FDEs at Together AI

FDE careers typically progress along one of three paths: deepening technical specialization within the FDE function (moving from mid-level to senior to staff FDE), transitioning into engineering management (leading FDE teams or broader customer engineering organizations), or lateral moves into product management (where customer-facing FDE experience is highly valued). All three paths are available at companies with established FDE programs.

The FDE market median of $135,000 base salary across 134 active postings reflects a market that prices the role at a premium over equivalent-seniority software engineers at the same companies. Total compensation including equity, particularly at venture-backed companies, can be 20 to 50 percent higher than base salary. FDEs considering opportunities at Together AI should evaluate total compensation, not just base salary, when comparing offers.

Interview processes for FDE roles at most companies include a technical coding round, a system design round specific to customer deployment scenarios, and a customer scenario exercise where candidates are asked to scope a deployment, communicate trade-offs, and handle technical objections. Strong candidates combine engineering depth with the ability to explain complex systems to non-technical stakeholders clearly and without jargon.

Frequently Asked Questions