Automotive SoC and autonomous driving compute for intelligent vehicles
Black Sesame Technologies designs automotive-grade system-on-chip (SoC) products and end-to-end autonomous driving stacks for vehicle OEMs. The company's tech stack is heavily weighted toward hardware design (SystemVerilog, Verilog, GDSII, RISC-V) paired with algorithmic work (C/C++, Python), reflecting a vertically integrated chip-and-software approach. Current project focus spans sensor-to-control models, vision-based perception, and trajectory prediction—alongside an emerging robotics compute platform—while internal challenges center on scalable deployment of inference at ultra-low latency in embedded environments.
Black Sesame Technologies is a semiconductor and autonomous driving solutions provider founded in 2016 and listed on the Hong Kong Stock Exchange in 2024. The company manufactures two primary SoC product lines: the Huashan Series (high-compute autonomous driving chips) and the Wudang Series (cross-domain SoCs for smart cockpits, imaging, and connectivity). Beyond silicon, Black Sesame delivers full-stack autonomous driving capabilities including perception, planning, and control algorithms, as well as robotics compute platforms. The 51–200-person team is concentrated in Singapore, with engineering-led hiring (5 of 7 active roles) skewed toward senior and lead levels, indicating a focus on deepening chip architecture and algorithmic expertise.
Hardware design languages (SystemVerilog, Verilog, GDSII), CPU instruction set (RISC-V), systems programming (C/C++, Python), and scripting (Perl, Bash, TCL) for chip design, simulation, and algorithm development.
End-to-end vision-based autonomous driving models, sensor-to-control pipelines, BEV perception and trajectory prediction, multimodal perception integration, and vision-language scene understanding, plus robotics platform expansion.
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