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Where we recruit

Five engineering domains. Deep specialism in each.

Velcotech focuses exclusively on engineering roles where technical depth matters — and we staff the recruiters who work them accordingly.

Semiconductor · VLSI

Chip design & verification

RTL designers, DV engineers, DFT architects, physical design, analog/mixed-signal — for fabless, IDM, and product semiconductor teams.

Embedded Systems

Firmware, drivers, RTOS, edge

Embedded engineers who can take hardware from power-on to production-ready — across MCU, SoC, RTOS, and edge-AI platforms.

Software Engineering

Backend, full-stack, cloud, mobile

Engineers who ship production-grade systems — across backend, frontend, mobile, platform, and developer infrastructure.

AI · Machine Learning

ML engineers & applied scientists

From foundation-model fine-tuning to production MLOps — engineers and researchers who turn models into shipped products.

Design for Test

DFT engineers & architects

Scan, BIST, ATPG, JTAG, boundary scan, and post-silicon test — engineers who own testability from RTL to silicon.

RTL Design

Front-end & micro-architecture

RTL engineers, micro-architects, and design leads — Verilog, SystemVerilog, and high-speed serial / protocol IP experience.

Domain deep-dive

Semiconductor & VLSI — the heart of what we do.

Hiring in semiconductor is unlike any other engineering discipline. The talent pool is small, the bar is high, and the wrong hire can set a tape-out back by quarters.

Our semiconductor recruiters have worked inside chip teams. They know the difference between a junior RTL engineer who’s ready for tape-out and one who isn’t — and they know where to find the first kind.

Roles we hire across this domain

RTL Design Engineers (Junior → Staff)

Design Verification Engineers (UVM / SV)

DFT Engineers & Architects

Physical Design / Implementation

Analog / Mixed-Signal Design

FPGA / Prototyping Engineers

Post-Silicon Validation Engineers

AI / ML focus

Hiring for AI teams that actually ship models.

The AI hiring market is noisy. Anyone can say "PyTorch" on a resume. The differentiator is whether they can take a model from notebook to production — and that's what we screen for.

We work with product AI teams, applied research groups, and AI-platform orgs — helping them hire across the full ML lifecycle.

ML Engineers

Production ML, model serving, feature stores, MLOps.

Applied Scientists

CV, NLP, speech, time-series, recommender systems.

LLM Specialists

Fine-tuning, RAG, evals, prompt + agent engineering.

ML Platform / Infra

Inference infra, distributed training, GPU optimization.

Data Engineers (ML-aligned)

Feature pipelines, streaming, data quality for ML.

Embedded focus

Engineers who live at the hardware-software boundary.

Embedded is its own discipline — and its hiring bar is unforgiving. The engineers we place understand timing diagrams, interrupts, register maps, and the realities of working with constrained hardware.

From consumer IoT to industrial automation to edge-AI devices, we hire across the full embedded stack.

Firmware Engineers

Bare-metal, RTOS, driver development, board bring-up.

Linux Kernel / Yocto Engineers

Board support packages, kernel modules, BSP work.

Connectivity Engineers

Bluetooth LE, Wi-Fi, Thread, Zigbee, Matter, LoRa.

Edge AI Engineers

TinyML, on-device inference, model quantization.

Embedded Linux / Android

System-level engineers for connected products.

Hiring in one of these domains?

Talk to a recruiter who actually knows your stack.

Tell us what you're building and what's open. We'll come back within one business day.