Onsite FPGA Engineer for AI‑Driven Manufacturing

Freeform

Los Angeles (CA)

On-site

USD 125,000 - 150,000

Full time

31 hours ago
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Benefits offered by this job

Stock options
Medical, dental & vision insurance (em
Life insurance
401(k)
Relocation assistance
Paid vacation & holidays
Parental leave
Daily catered meals
Casual dress & flexible hours

Job summary

Freeform is seeking a new graduate FPGA Engineer (Summer 2027) to help build AI-native manufacturing systems that unify software, hardware, and physics for autonomous metal 3D printing factories. You will contribute to high-performance FPGA-based signal processing, controls, and embedded Linux interfaces, collaborating across disciplines.

The role emphasizes hands-on hardware work, development on FPGA blocks, and deployment in production environments in Hawthorne, CA, with a strong focus on

Qualifications

  • Bachelor's degree in computer engineering, electrical engineering, or computer science.
  • Hands-on electrical experience from internships or engineering clubs (FSAE, Baja SAE, solar car, rocket/robotics clubs).
  • Experience developing in VHDL or Verilog.

Responsibilities

  • Developing new logic components for use on FPGAs.
  • Implementing custom algorithms on FPGAs for signal processing.
  • Implementing custom controllers on FPGAs.
  • Develop embedded Linux applications to interface with FPGA logic components.
  • Packaging and using IP components in FPGA block diagram design.
  • Work on development boards and in production environment.

Skills

VHDL
Verilog
C/C++
Embedded Linux
System-on-Chip

Education

Bachelor's degree in computer engineering or electrical engineering or computer science

Tools

Xilinx Vivado/Vitis
Xilinx Zynq Ultrascale+ MPSoC
Embedded Linux toolchain

Job description

Freeform is seeking a new graduate FPGA Engineer (Summer 2027) to help build AI-native manufacturing systems that unify software, hardware, and physics for autonomous metal 3D printing factories. You will contribute to high-performance FPGA-based signal processing, controls, and embedded Linux interfaces, collaborating across disciplines.

The role emphasizes hands-on hardware work, development on FPGA blocks, and deployment in production environments in Hawthorne, CA, with a strong focus on

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