Apply only if you have 6+ years of RELEVANT experience. It's a REMOTE role.

What You'll Own

- PCIe Foundation

: Design and implement robust PCIe kernel drivers for AI accelerator enumeration, configuration, and management that form the critical host-device communication backbone.

- High-Speed Data Movement

: Develop DMA engines and memory management systems that deliver zero-copy, high-throughput data movement between host and accelerator for massive AI workloads.

- Firmware Bridge

: Build interrupt handling (MSI/MSI-X) and mailbox communication protocols that create seamless coordination between kernel space and our firmware stack.

- System Observability

: Create comprehensive sysfs/debugfs interfaces for device configuration, telemetry, and diagnostics that give operators deep visibility into accelerator operations.

- Multi-Die Orchestration

: Support multi-die topologies through device discovery, link management, and topology coordination that scales from single-card to cluster deployments.

- Power & Thermal Intelligence

: Develop power management and thermal control integration with Linux PM frameworks that optimize performance while maintaining reliability.

- Reliability Engineering

: Contribute to device health monitoring, error handling (RAS), and recovery mechanisms that deliver the 99.99% uptime datacenter customers require.

- Performance Optimization

: Optimize kernel-space performance for AI workloads, focusing on latency, throughput, and scalability that directly impacts model training and inference speed.

- Time Synchronization

: Support PTP/PHC time synchronization for distributed training and inference that ensures coordination across multi-node AI clusters.

- Runtime Partnership

: Collaborate with userspace runtime teams on kernel-userspace interfaces and APIs that enable efficient scheduling and resource sharing.

- Future-Ready Architecture

: Lay the groundwork for device virtualization and multi-tenant isolation, ensuring our platform can evolve with customer needs.

Minimum Qualifications





- 5+ years developing Linux kernel drivers and subsystems in C for complex SoCs or accelerators

- Proven experience with PCIe device driver development (enumeration, BARs, DMA, interrupts)

- Solid knowledge of Linux memory management, DMA mapping, and IOMMU integration

- Hands-on experience with kernel synchronization primitives, workqueues, and interrupt handling

- Solid understanding of Linux device model, sysfs/debugfs, and driver lifecycle management

- Familiarity with kernel debugging tools: ftrace, perf, crash, kprobes, and hardware debuggers

- Ability to read hardware specifications and work with RTL/hardware teams on register interfaces

- Excellent documentation habits; comfortable with kernel development processes and upstream contribution

Preferred Qualifications

- Experience with AI/ML accelerator drivers or GPU compute drivers (NVIDIA, AMD, Intel)

- Implemented RDMA/RoCE drivers or high-speed networking kernel subsystems

- Background in PTP/PHC time synchronization or distributed system timing

- Multi-die/chiplet device driver experience and topology management

- Linux kernel upstream contributions and familiarity with kernel community processes

- Experience with kernel security features, SELinux integration, and device isolation

- Knowledge of container/runtime integration with kernel drivers (Docker, Kubernetes)

- Performance optimization experience for high-throughput, low-latency kernel subsystems

- Familiarity with RAS concepts, ECC handling, and system reliability in kernel space

What Success Looks Like (First 6–9 Months)

- PCIe driver is stable and reliable across multiple system configurations and stress tests

- DMA and memory management achieve target throughput with low CPU overhead

- Multi-die topology management and inter-card communication is functional and performant

- Integration with firmware mailbox protocols and telemetry collection is operational

- Performance benchmarks meet targets for key AI workloads (inference and training)

- Documentation and test coverage enable team-wide development and deployment

📌 Linux Engineer (India)
🏢 Teksands.ai
📍 India