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Expertise

Deep tech has its own language. We are fluent.

PaxSigna recruits specialist technical talent across technology, semiconductor and advanced engineering. The person who can tune a PLL is not found the same way as the person who can scale a data platform, and we do not pretend otherwise.

A software engineer holding a laptop in a modern office
A smiling engineer with glasses
Kubernetes
SystemVerilog
ROS 2
Deepspecialist expertise, not generalist
The idea

Most recruiters cover everything, so they know a little about all of it. We go deep on the work, and know it the way you do.

01

Specialist by design

We stay close to the work we know, so our network runs deep and our judgment stays sharp.

02

A technical conversation first

Every candidate talks to a consultant who understands the work before you ever see their name.

03

Short lists, with reasons

You get a handful of people, each with a written case for the fit. Not a pile of CVs to sort through.

An engineer explaining a system design on a whiteboard
Software / Data / Cloud / AI
01
Technology

Software that ships. Data you can trust. AI that works outside the demo.

We place engineers who have run systems in production, not just built them. People who have been paged at 2 a.m., rewritten the thing that did not scale, and still like the work.

Where we hire

  • Software engineering: backend, frontend, mobile, full stack
  • Data engineering and analytics platforms
  • Cloud, DevOps and site reliability
  • Applied AI, machine learning and MLOps
  • Architecture and engineering management

What we test for

  • System design under real constraints, not whiteboard theatre
  • Ownership of production incidents and the postmortems after
  • Code they have reviewed, not only code they have written
  • Clear communication with people who are not engineers

Roles we place

Senior Backend EngineerStaff Platform EngineerData EngineerMachine Learning EngineerSite Reliability EngineerDevOps LeadQA Automation EngineerSolutions ArchitectEngineering Manager

Stack we speak

PythonGoTypeScriptJavaKubernetesTerraformAWSAzureGCPSparkdbtPyTorch
Semiconductor

From RTL to the cleanroom floor.

Semiconductor hiring fails when the brief says design engineer and the real need is one corner of one flow. We map that corner first, then find the person who has actually lived in it.

Where we hire

  • Digital and analog IC design
  • Design verification and validation
  • Physical design and layout
  • Process, yield and equipment engineering
  • Test, product and failure analysis
  • Embedded hardware and firmware

What we test for

  • Tape-out history: which nodes, which flows, which problems
  • How they debug when silicon disagrees with simulation
  • Fluency in the tool chain, not just familiarity
  • Real depth in a niche such as PLLs, ADCs, power or memory

Roles we place

Analog Design EngineerRTL Design EngineerDesign Verification EngineerPhysical Design EngineerProcess Integration EngineerYield EngineerTest EngineerProduct EngineerFirmware Engineer

Stack we speak

VerilogSystemVerilogUVMCadenceSynopsysSPICECalibreTCLPythonJMP
Close-up of a semiconductor chip on a circuit board
IC design / Hardware / Process
02
A white industrial robot arm in a bright automation lab
Automation / Robotics / Controls
03
Advanced Engineering

Machines that move. Systems that hold together.

Where software meets steel, the gap between a good CV and a good engineer is widest. We look for people who have commissioned real equipment and know what fails first.

Where we hire

  • Industrial automation and PLC programming
  • Robotics, motion and machine vision
  • Controls and mechatronics
  • Systems and reliability engineering
  • Manufacturing and test engineering

What we test for

  • Commissioning experience on live lines, not only simulation
  • Safety, standards and documentation habits
  • How they debug when hardware and software are both suspect
  • Comfort with ambiguity and changing requirements

Roles we place

Controls EngineerAutomation EngineerRobotics Software EngineerMechatronics EngineerSystems EngineerReliability EngineerManufacturing EngineerTest Automation EngineerField Applications Engineer

Stack we speak

Siemens PLCAllen-BradleyROS 2MATLABSimulinkC++SCADAEtherCATCADPython
How we assess

How we tell who is actually good.

A keyword match only proves someone has read the job ad. Here is what we do instead, on every search.

A smiling consultant standing by a window
The standardIf we are not sure, we do not send them.
1

Read the work

Repos, tape-out records, patents, commissioning logs. Before we speak to anyone, we read what they have actually built.

Evidence before opinions
2

Talk shop

A consultant with domain depth runs a technical conversation. Not a keyword quiz. Real trade-offs, real debugging stories, real follow-up questions.

Domain-led, not script-led
3

Match the context

Great engineers fail in the wrong team. We check stack, stage, constraints and how your people actually work together.

Fit for the team, not just the title
4

Introduce few

You receive a short list, each with a written case for why they fit. You spend your time interviewing, not filtering.

Short list, with reasons
Next step

Tell us the role. We will tell you honestly if we can fill it.

A specialist replies within one business day. No pitch deck, no pressure, no CV dumps.

Not sure which field fits?

Ask Pax. It knows our sectors and can point you the right way in a minute.

Ask Pax →
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