Solution Sales Engineer

AMAX · Reading, UK

Open 6 days

Base: Not disclosed
OTE: Not disclosed
Posted: 6d ago

Last confirmed open 32h agoon AMAX's careers page

Apply on AMAX →

The job

What you'd do

Design custom computer systems for businesses' artificial intelligence and high-powered computing projects, then help set them up and test them with customers. You'll also give technical demos and trial tests to show what the systems can do.

What you'd sell

Builds custom servers for AI and heavy-duty computing

When a company needs computers strong enough to train AI, it has to match chips, memory, storage, and networking. The problem is, one mismatched part can slow the whole machine down or leave expensive chips sitting idle. AMAX designs and builds custom servers with the right parts, then helps set them up on site, so the customer gets a setup matched to its exact workload.

In plain English, from their own job posts. Something wrong? Tell me · More Hardware & IoT companies →

Who you'd sell to

Not stated in the posting.Ask: “Who's the economic buyer, and who else is in the deal?”

Where deals come from

Not stated in the posting.

The Braun Read

Proceed with caution

A few things here deserve a hard look before you spend time on it.

Pay: No pay listed at all.
Transparency: Says nothing about quota, attainment, deal size, territory or sales cycle. Ask about all five.
Time on market: Open 6 days.
Company hiring: This is their only open sales role.

Red lights

Pay. No pay listed at all.

Green lights

None spotted.

Based only on what the posting says. Lights are a starting point for your first call, not a final judgment.

Questions to ask on the first call

Built from what this posting leaves out. How they answer tells you as much as what they say.

1.
What percentage of fully ramped reps hit quota last year?
OTE is what you could earn. This is how likely you are to earn it.
2.
What are the base and the OTE for this role?
No point investing hours before you know the number.
3.
Who's the economic buyer, and who else is in the deal?
Selling to a CFO and selling to a developer are different jobs.
4.
What's the annual quota, and how was it set?
A quota built from real data is a target. Otherwise it's a hope.
5.
Where does pipeline come from: inbound, SDRs, or me?
Tells you how much of your week is prospecting versus selling.

Before You Apply

Find out where you fit, and where you don't, before you hit submit.

Why I built it this way ↓

Most résumé tools try to make you look like a match. I'd rather help you find out if you are one.

Nothing made up.
Nothing goes on your résumé that you didn't do. If a line would need a number you didn't give me, I ask. I don't guess. On Braun Board it's checked in code, not just promised.
Curiosity before conclusions.
If the job wants something your résumé doesn't show, I ask before I assume. Plenty of sellers have done the thing and just never wrote it down.
Sorting, not selling.
Some jobs won't line up with what you've done. Finding that out before you apply isn't a loss. It's an hour back, spent on a job that fits.
No score.
A match score tells you how well you copied their words. It doesn't tell you whether you'd be good at the job, or happy there.

It's the same way I teach selling. We don't control who says yes. We do control where we spend our time, and whether everything we say is true.

Josh

1 Is the job worth it?

Proceed with caution. A few things here deserve a hard look before you spend time on it.

No pay listed at all.

Might be worth asking about this before you spend an hour on a tailored résumé.

See the full Braun Read

2 Where you fit

Upload once, see where you fit on any job.

What people say about working at AMAX ↓

Got an offer from AMAX? Not sure about it?Ask me. I read every message myself. · JoshAsk Josh

Rather talk it through? Call or text me: 954-695-0844 (text)

Full posting

AMAX is an IT infrastructure and engineering company that designs, customizes, manufactures, and deploys advanced computing solutions for AI, HPC, and enterprise use cases. Across servers, workstations, rack systems, and OEM infrastructure, the company helps customers build computing environments that are scalable, high-performing, and reliable. As a Hardware Solutions Engineer, you will help bridge customer requirements with engineering execution, shaping customized server and infrastructure solutions that support demanding AI, HPC, and enterprise workloads. This role sits at the intersection of solution design, technical validation, customer engagement, and cross-functional delivery, with a strong focus on turning complex requirements into production-ready hardware platforms. Responsibilities - Collaborate with sales and customers to translate requirements into scalable AI/HPC system designs, including compute, GPU configurations, high speed networking (InfiniBand/Ethernet), and storage architectures. - Design, architect, and implement high-performance computing (HPC) and AI/ML infrastructure solutions, including GPU-accelerated clusters, high-speed storage, and low-latency networking. - Lead the end-to-end solution lifecycle from pre-sales architecture through system integration, validation, and deployment in customer environments. - Drive OEM server and appliance configuration, including BOM definition, firmware/BIOS tuning, thermal/power considerations, and manufacturability alignment. - Work closely with manufacturing and integration teams to ensure system-level validation, rack integration, burn-in testing, and production readiness for complex server appliances. - Deliver technical presentations, demos, and proof-of-concepts (POCs) focused on AI workloads (training/inference), HPC simulations, and data-intensive applications. - Support cluster bring-up and optimization, including OS provisioning, workload managers (e.g., Slurm), container platforms, and GPU software stacks (CUDA, drivers, AI frameworks). - Provide advanced troubleshooting and performance tuning across compute, GPU, storage, and networking subsystems. - Perform on-site or remote deployment support, including rack-level integration, cluster commissioning, and acceptance testing. - Develop and maintain technical documentation, including solution architectures, integration guides, and manufacturing/test procedures. - Interface with cross-functional teams (engineering, manufacturing, support) to resolve complex system-level issues and improve product quality. - Stay current with emerging technologies in AI infrastructure, HPC architectures, GPU platforms, and data center design. Requirements - Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience). - Hands-on experience with HPC clusters, AI/ML infrastructure, or GPU-accelerated systems. - Strong knowledge of server architecture (x86/ARM), CPU/GPU platforms (NVIDIA/AMD), memory, storage, and networking. - Experience with high-speed interconnects (InfiniBand, RDMA, NVLink, high-performance Ethernet). - Familiarity with OEM server platforms and system integration, including BIOS/BMC, firmware, and hardware validation. - Understanding of manufacturing and system integration processes (rack integration, burn-in, QA, and deployment workflows). - Experience with Linux environments - Strong analytical, troubleshooting, and performance optimization skills across the full hardware and system stack. - Experience working across customers, sales, and engineering/manufacturing teams. Preferred Skills - Knowledge of AI/HPC software stacks such as CUDA, Kubernetes, Slurm, Docker, and AI frameworks like PyTorch/TensorFlow. - Experience designing or deploying AI training clusters or large-scale HPC environments. - Exposure to liquid cooling, high-density rack design, or power/thermal optimization. - Familiarity with OEM/ODM workflows and contract manufacturing environments. - Experience with benchmarking and performance tuning (e.g., MLPerf, IO benchmarks, MPI workloads).

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