Director, AI Systems Solutions Engineering

Tensordyne, Sunnyvale, CA +1

The role

Tensordyne is hiring a Director of AI Systems Solutions Engineering to own and grow our most important technical customer engagements.

This is a senior, highly technical role for someone who understands modern AI infrastructure from model architecture through accelerator hardware, distributed inference, serving software, and datacenter deployment — and who can credibly engage with the engineers and architects building the next generation of AI platforms.

All jobs

Director, AI Systems Solutions Engineering

Tensordyne, Sunnyvale, CA +1

Posted pay

Pay not posted

Location: Sunnyvale, CA +1
Work type: Not given
Level: Director+, manager
Posted: Sep 29, 2026
Last check: 1 h ago
Job type: Solutions engineering

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Tensordyne

Open tech jobs: 26
With posted pay: 0%

About Tensordyne: funding, hiring and pay

Tensordyne

About Tensordyne: funding, hiring and pay

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The role

Tensordyne is hiring a Director of AI Systems Solutions Engineering to own and grow our most important technical customer engagements.

What you will do

Strategic technical customer engagements: Own the technical relationship with key customers and partners from initial architecture discussions through benchmarking, evaluation, integration, deployment, and expansion.
Technical evaluation strategy: Define how Tensordyne demonstrates system performance across KPI's like throughput, tokens/sec/user, ttft, memory utilization, power efficiency, system density, model accuracy/quality, and other relevant inference metrics.
AI workload and model architecture engagement: Work with customers and model developers to understand current and emerging HW and model architectures, serving requirements, context lengths, parallelism strategies, model topology, quantization approaches, and inference optimization requirements.
Benchmarking and competitive analysis: Maintain a technically rigorous understanding of Tensordyne performance relative to leading GPU and AI accelerator platforms. Ensure customer-facing comparisons are credible, reproducible, current, and aligned with real deployment requirements.
Model enablement and optimization: Partner with compiler, runtime, kernel, systems, and SDK teams to bring important customer models and workloads onto the Tensordyne platform and identify opportunities for performance improvement.
Forward deployment: Lead technical PoCs, remote evaluations, on-premises beta deployments, integration programs, and production readiness efforts with strategic customers.
Customer-to-product feedback loop: Translate recurring customer requirements into clear priorities for the SDK, compiler, runtime, inference server, model support, orchestration, networking, observability, and system architecture teams.
Technical market intelligence: Stay deeply current on model architectures, inference techniques, accelerator roadmaps, serving frameworks, competitive systems, benchmarking methodologies, and changes in the AI infrastructure market.
Team leadership: Help recruit, develop, and lead a small team of elite Sales/Solutions Engineers capable of independently managing sophisticated technical engagements with the world’s most demanding AI infrastructure customers.
Scalable technical GTM: Turn early customer engagements into repeatable benchmarks, evaluation frameworks, reference architectures, deployment playbooks, documentation, demos, and technical collateral that can support a rapidly growing customer base.

Director, AI Systems Solutions Engineering

The role

Director, AI Systems Solutions Engineering

The role

What you will do

What you need

You should bring

Candidates may come from organizations building or deploying

Why This Role Matters

Tensordyne's culture was built on the following values

About Tensordyne

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