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Black Sesame Technologies (Singapore) Pte Ltd Tech Stack
Automotive SoC design for autonomous driving and intelligent vehicle platforms
Black Sesame Technologies designs automotive-grade system-on-chip (SoC) products for autonomous driving, smart cockpit, and advanced imaging in intelligent vehicles. The tech stack—Verilog, SystemVerilog, C++, TensorFlow, PyTorch, and RISC-V—reflects a hardware-software co-design operation focused on compute efficiency. Active projects span timing closure, interconnect architecture for ADAS neural processors, and end-to-end vision-based autonomous systems, while pain points cluster around PPA optimization (power, performance, area) and bridging ML algorithms to hardware constraints—a typical tension in SoC development for cost-sensitive automotive OEMs.
Tech Stack 17 technologies
What Black Sesame Technologies (Singapore) Pte Ltd Is Building
◆Challenges
- Improving timing analysis workflow efficiency
- Achieving chip ppa target
- Balancing latency bandwidth power constraints
- Scalable data movement across compute clusters
- Designing high-bandwidth interconnect for adas
- Optimizing computational and memory requirements
- Enhancing chip performance, efficiency, scalability
- Bridging gap between ml algorithms and hardware design
▲Active Projects
- Block-level timing closure
- Timing analysis workflow improvement
- Chip ppa target achievement
- High-bandwidth interconnect solutions for adas npu platforms
- Scalable data movement across compute clusters, memory systems, and accelerators
- Architecture roadmap for future ai compute platforms
- End-to-end autonomous driving models
- Pure vision-based end-to-end systems
- Vision-language models integration
- Verification environment development
Hiring Activity
6 roles · 6 in 30d
Department
Seniority
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