4 months ago

Software Engineer - Kernels/CUDA (C++)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 minutes agoStatus: Live

Job Summary

Join the Compute Infrastructure team building and operating massive-scale clusters and an in-house container orchestration platform to power frontier AI training, inference, and real-time workloads. Collaborate with research and systems teams to push beyond Kubernetes, optimize exascale resources, and deliver ultra-scalable, reliable infrastructure for next-generation models at scale.

Location: Palo Alto

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build and manage massive-scale clusters to host, persist, train, and serve AI workloads with extreme reliability and performance.
•Design, develop, and extend an in-house container orchestration platform that achieves superior scalability, isolation, resource efficiency, and fault-tolerance compared to off-the-shelf solutions.
•Collaborate with research teams to architect and optimize compute clusters specifically for large-scale training runs, inference services, and real-time applications.
•Profile, debug, and resolve complex system-level performance bottlenecks, resource contention, scheduling issues, and reliability problems across the full stack.
•Own end-to-end infrastructure initiatives with first-principles design, rigorous testing, automation, and continuous optimization to support frontier AI compute demands.

Pay and Benefits

Salary: USD 180,000 - 440,000 annually

Equity and Bonus:Equity

Perks:EquityMedicalVisionDental401kDisability

Key Requirements

•Deep expertise in virtualization technologies (KVM, Xen, QEMU) and advanced containerization/sandboxing (Kata, Firecracker, gVisor, Sysbox, or equivalent).
•Strong proficiency in systems programming languages such as C/C++ and Rust.
•Proven track record profiling, debugging, and optimizing complex system-level performance issues, with deep knowledge of Linux kernel internals, resource management, scheduling, memory management, and low-level engineering.
•Hands-on experience building or significantly enhancing distributed compute platforms, orchestration systems, or high-performance infrastructure at scale.
•Ability to thrive in a fast-paced, meritocratic environment with full ownership, high standards, and a focus on rigorous execution.

Experience:AIHigh-performance computingDistributed systems

Skills:OwnershipCommunicationCollaboration

Languages:English

Tech Stack:C++RustKVMXenQEMUKataFirecrackerGVisorSysboxLinuxKernelContainer orchestration

Company Brief

X AI

Develops advanced artificial intelligence models and research aimed at building safe, general AI and understanding the fundamental nature of the universe. Focuses on large-scale AI systems, research publications, and building foundational AI capabilities.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Headquarters: San Francisco, United States

Founded: 2023

Website

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X AI

4 months ago

Software Engineer - Kernels/CUDA (C++)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 minutes agoStatus: Live

Job Summary

Location: Palo Alto

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build and manage massive-scale clusters to host, persist, train, and serve AI workloads with extreme reliability and performance.
•Design, develop, and extend an in-house container orchestration platform that achieves superior scalability, isolation, resource efficiency, and fault-tolerance compared to off-the-shelf solutions.
•Collaborate with research teams to architect and optimize compute clusters specifically for large-scale training runs, inference services, and real-time applications.
•Profile, debug, and resolve complex system-level performance bottlenecks, resource contention, scheduling issues, and reliability problems across the full stack.
•Own end-to-end infrastructure initiatives with first-principles design, rigorous testing, automation, and continuous optimization to support frontier AI compute demands.

Pay and Benefits

Salary: USD 180,000 - 440,000 annually

Equity and Bonus:Equity

Perks:EquityMedicalVisionDental401kDisability

Key Requirements

•Deep expertise in virtualization technologies (KVM, Xen, QEMU) and advanced containerization/sandboxing (Kata, Firecracker, gVisor, Sysbox, or equivalent).
•Strong proficiency in systems programming languages such as C/C++ and Rust.
•Proven track record profiling, debugging, and optimizing complex system-level performance issues, with deep knowledge of Linux kernel internals, resource management, scheduling, memory management, and low-level engineering.
•Hands-on experience building or significantly enhancing distributed compute platforms, orchestration systems, or high-performance infrastructure at scale.
•Ability to thrive in a fast-paced, meritocratic environment with full ownership, high standards, and a focus on rigorous execution.

Experience:AIHigh-performance computingDistributed systems

Skills:OwnershipCommunicationCollaboration

Languages:English

Tech Stack:C++RustKVMXenQEMUKataFirecrackerGVisorSysboxLinuxKernelContainer orchestration

Company Brief

X AI

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Headquarters: San Francisco, United States

Founded: 2023

Website