Jane Street: Global quantitative trading firm and liquidity provider.
Experience with physical design flows (floorplanning, place-and-route, timing closure, P&R, physical verification, power analysis); able to own a flow end-to-end; read/write RTL; cross-stack thinking; programming in Python, C++, or similar.
Customer Projects Hardware Engineer – Aerospace, Defense & Government (ADG)
Hazlet or Portsmouth
$135k-$195k/yrOnsiteFull Time
Altera: Manufacturer of field-programmable gate arrays and programmable logic devices.
6+ YOEBachelor's in EE/CE or related, 6+ years hardware design/RTL/board-level experience, FPGA systems familiarity, high-speed interface knowledge (DDR, PCIe, Ethernet), lab debugging experience, eligible for U.S. security clearance.
Analog DevicesNASDAQ: ADI: Designs and manufactures semiconductors for signal processing and power management.
2+ YOEMaster’s degree in Electrical/Electronic/Computer Engineering or related field; 2+ years in digital design/mixed-signal verification; experience with RTL, Verilog/SystemVerilog, and ASIC/FPGA design flows.
Two Sigma: Systematic investment management and quantitative trading firm.
1+ YOEMinimum 1 year RTL design and verification experience, proficiency in SystemVerilog and Python, FPGA/ASIC knowledge, timing analysis, network protocol familiarity; C++ is a plus.
Normal Computing: Building probabilistic AI and thermodynamic computing for semiconductor design.
Proven FPGA experience bringing RTL to timing-closed hardware; expert SystemVerilog/VHDL and Xilinx Vivado; PCIe and common bus protocols; strong Python/C++ for automation; board bring-up and lab debugging skills.
Research Engineer, Chip Design RL (Reinforcement Learning)
San Francisco or New York City
$500k-$850k/yrHybridFull Time
Anthropic: Developing safe and reliable artificial intelligence systems.
Bachelor's or equivalent, expertise in ASIC/FPGA design and EDA tools, experience with RTL, verification (UVM, formal methods), physical design and tapeout experience; RL experience and tooling experience preferred.
Normal Computing: Building probabilistic AI and thermodynamic computing for semiconductor design.
Experience in architecture/microarchitecture of high-performance digital systems; strong hardware specification and RTL collaboration; proficiency in Python or C++ for modeling; familiarity with SystemVerilog/RTL.