ABOUT ARC COMPUTE:

ARC Compute is at the forefront of hardware and software innovation, pushing the boundaries of performance in GPU optimization, bare-metal systems, and kernel-level programming. Join our Toronto-based team and play a pivotal role in developing high-performance solutions that shape the future of compute infrastructure.

Key Responsibilities

• Lead the development of high-performance, low-level software solutions for GPU and hardware optimization.
• Design and implement bare-metal programming solutions for microcontrollers and embedded systems.
• Optimize GPU programs and kernels for maximum efficiency and performance.
• Contribute to system architecture decisions and integration of low-level solutions into broader systems.
• Mentor and guide junior engineers in low-level programming best practices.
• Collaborate with cross-functional teams, including hardware engineers, cloud specialists, and DevOps, to deliver cutting-edge solutions.

Required Skills & Experience

• 2-4+ years of experience in low-level systems programming.
• Expertise in C, C++, and Assembly language programming.
• Deep understanding of computer architecture, memory hierarchies, and hardware interfaces.
• Proven experience in GPU programming and optimization techniques.
• Strong knowledge of kernel development, bare-metal programming, and real-time systems.
• Hands-on experience with performance profiling and optimization tools.
• Familiarity with Kubernetes, AWS, and cloud infrastructure.

Preferred Qualifications

• Experience working in hybrid environments with a mix of on-premises and cloud-based infrastructure.
• Background in debugging complex, low-level systems.
• Strong problem-solving skills and attention to detail.
• A passion for high-performance computing and pushing hardware to its limits.

What We Offer

• A collaborative and innovation-driven work environment.
• Opportunity to work on cutting-edge projects in GPU optimization and low-level systems.
• Competitive compensation

Education

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Advanced degrees or specialized certifications in low-level systems, GPU programming, or embedded systems are a plus.

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Ready to join_ ARC Compute_ and help redefine hardware performance?
Apply today and be part of a team that’s shaping the future of compute innovation.
Job Type: Full-time
Pay: From $100,000.00 per year

Application question(s):

• Are you a Canadian citizen or permanent resident? Please specify
• Do you have experience working in environments that use Kubernetes?
• Have you worked as part of a cross-functional team including hardware, cloud, and DevOps engineers?
• Have you developed or maintained code running in bare-metal or real-time operating systems (RTOS)?
• Have you worked directly with kernel modules or custom device drivers?
• Do you have hands-on experience with GPU programming (e.g., CUDA, OpenCL)?
• Have you optimized GPU programs or kernels for performance?
• Have you contributed to system-level architecture decisions involving low-level components?

Experience:

• low level systems programming: 2 years (preferred)

Work Location: In perso

• Lead the development of high-performance, low-level software solutions for GPU and hardware optimization.
• Design and implement bare-metal programming solutions for microcontrollers and embedded systems.
• Optimize GPU programs and kernels for maximum efficiency and performance.
• Contribute to system architecture decisions and integration of low-level solutions into broader systems.
• Mentor and guide junior engineers in low-level programming best practices.
• Collaborate with cross-functional teams, including hardware engineers, cloud specialists, and DevOps, to deliver cutting-edge solutions