Bolt Graphics is a semiconductor startup based in Sunnyvale, CA building the fastest and most efficient graphics processors. We pride ourselves on our first principles approach to solving problems. We are energized by our mission to reduce the barrier of entry for content creation and consumption. Our goal is to enable everyone to easily create, simulate and consume immersive experiences as vividly as they can imagine them.
Our Values
- Be Fearless:Unmute yourself. Test boundaries and get proven right.
- Remain Adaptable:Stay comfortable in a continuously changing world. If you’re wrong, concede and move on.
- Educate Your Ego:Selflessly collaborate towards our shared purpose.
About the role:
We are looking foran initiative-takingVector Compute Architect Internto join our advanced architecture team working on next-generation AI, GPU, and high-performancecomputerplatforms. This role focuses on defining andoptimizingvectorcomputearchitectures for graphics and scientific computing workloads.
The ideal candidate is pursuing anMS or PhDin Computer Engineering, Electrical Engineering, Computer Science, or a related field, withstrongbackground in computer architecture, parallel processing, and performance modeling.
What you'll do:
- Define data parallel microarchitecture satisfying ISA constraints.
- Drive architecture tradeoff analysis for performance, power, area, bandwidth, latency, and scalability.
- Develop and review system architecture specifications, interface definitions, and microarchitecture requirements.
- Collaborate with RTL, verification, physical design, firmware, software, and system teams throughout the development cycle.
- Lead performance modeling, workload analysis, and bottleneck identification using C/C++/SystemC or similar modeling environments.
- Define memory hierarchy, coherency architecture, and cache structures.
- Work closely with verification teams to define architectural test plans and validation strategies.
- Support silicon bring-up, debug, performance tuning, and post-silicon optimization.
- Contribute to long-term technology and product roadmap planning.
Qualifications:
- Pursuing anMS or PhDin Electrical Engineering, Computer Engineering, Computer Science, or related field.
- Proven work experience in(preferablypublished):
- Workload characterization and profiling
- Out-of-order data dependency and control
- Utilization / occupancy optimization
- High-performance architecture design techniques
Experience with one or more of the following:
- CPU/GPU/NPU architectures
- NoC/interconnect architectures
- Cache coherency protocols (CHI/ACE/CXL)
- High-speed interfaces (PCIe, UCIe, Ethernet)
- Memory systems (DDR, LPDDR, HBM, GDDR)
- Power,performance,andareaoptimization
- Strong knowledge of RTL development and verification methodologies.
- Experience with architecture modeling and performance analysis tools.
- Familiarity with firmware/software interaction in complex SoC systems.
- Excellent problem-solving, communication, and leadership skills.
What You Will Gain
- Hands-onexperience working oncutting-edgevectorcompute.
- Opportunity to collaborate with experienced architecture, software, firmware,and silicon design teams.
- Exposure to full-chip architecture trade-offs in advanced process technologies.
- Real-world experience in next-generation GPU system development.
Preferred Skills
- Strong communicationand technical presentation skills.
- Self-driven and capable of working in a fast-paced startup or research-oriented environment.
- Passion for AI, GPUs, high-performance computing, and advanced semiconductor technologies.
Compensation Range:$ per year (California). This range represents the anticipated base pay for this role; the final offer may vary based on qualifications, experience, and location.
Bolt is committed to building a diverse and inclusive environment in which we recognize and value each other’s differences as well as fostering a culture that promotes its core values: Professionalism, Integrity, and Respect. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, or status as a protected veteran.
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