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Hillcrest Labs, acquired by CEVA Tech Stack

DSP and AI processor IP for motion sensing and edge AI in consumer devices

Software Development Rockville, MD 201–500 employees Founded 2001 Public Company

Hillcrest Labs, now part of CEVA, develops sensor-processing and AI-inference IP targeting consumer electronics and IoT. The tech stack reveals a hardware-centric operation: Cadence, FinFET, CMOS, Verilog, SystemVerilog, FPGA, and DSP primitives sit alongside Python, PyTorch, and TensorFlow, indicating active investment in AI acceleration for edge devices. Current hiring is heavily weighted toward engineering (23 of 28 roles), with multiple compiler and silicon bring-up positions open across the US, Israel, Greece, France, China, and Serbia—signaling aggressive expansion in AI graph compilation and next-gen connectivity IP.

Tech Stack 49 technologies

Core StackPython C++ PyTorch TensorFlow Azure DevOps Docker Kubernetes Cursor MATLAB Bash Cadence FinFET CMOS OFDM macOS Bluetooth Ultra-Wideband FPGA Wi-Fi TCL Verilog SystemVerilog 802.15.4 5G NR C/C++ Azure DevOps Server DSP SIMD LLVM MLIR+19 more

What Hillcrest Labs, acquired by CEVA Is Building

Challenges

  • Automation of release processes
  • Improving engineering efficiency
  • Complex licensing negotiations
  • Cross-functional coordination
  • Recruiting hardware talent
  • Expanding business in north america
  • Retaining current customers
  • Enhancing infrastructure reliability
  • Improving silicon product time‑to‑market
  • Scaling compute infrastructure

Active Projects

  • Ai graph compiler software stack for npus
  • Dsp ai processors
  • Ip evaluations and silicon bring-up
  • Ceva ai framework development
  • Automation and release process support
  • Next-generation graph compiler technology
  • Mimo wi-fi and bluetooth transceivers development
  • Next-generation connectivity solutions for ceva’s turnkey ip platforms
  • Firmware design and optimization for macos platforms
  • Commercial licensing agreements

Hiring Activity

Accelerating30 roles · 15 in 30d

Department

Engineering
23
HR
1
Ops
1
Sales
1

Seniority

Senior
7
Lead
6
Mid
6
Director
3
Junior
2
Intern
1
Manager
1

Notable leadership hires: Business Operations Director, Sales Director, Compiler Lead

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About Hillcrest Labs, acquired by CEVA

Hillcrest Labs, acquired by CEVA, supplies sensor-processing software, IP components, and intellectual property for intelligent sensor use in consumer electronics and IoT. The Freespace motion-control technology powers gesture recognition and spatial sensing in smart TVs, set-top boxes, PCs, game consoles, VR headsets, AR devices, and robotics. The organization operates across multiple product lines: DSP and AI processors, MIMO Wi-Fi and Bluetooth transceivers, AI compiler frameworks, and silicon bring-up for NPU and edge-inference platforms. Engineering-driven hiring and active projects in graph-compiler technology and silicon optimization reflect a push toward faster product cycles and AI-capable edge processors.

HeadquartersRockville, MD
Company Size201–500 employees
Founded2001
Hiring MarketsGreece, France, Israel, China, Serbia, United States

Frequently Asked Questions

What is Hillcrest Labs working on now?

Active projects include AI graph compiler software for NPUs, DSP and AI processor development, next-gen MIMO Wi-Fi and Bluetooth transceivers, silicon bring-up, and CEVA AI framework development. Focus areas are improving time-to-market for silicon products and scaling compute infrastructure.

What tech stack does Hillcrest Labs use?

Core stack: Cadence EDA, Verilog, SystemVerilog, FPGA, DSP, SIMD, LLVM, MLIR for hardware; Python, PyTorch, TensorFlow, MATLAB for AI and signal processing; Docker, Kubernetes, Azure DevOps for CI/CD; Bluetooth, Wi-Fi, 5G NR, Ultra-Wideband for connectivity.

How this profile is built

Hillcrest Labs, acquired by CEVA's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.