Senior/Principal Performance Engineer

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🕒 3 days ago

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TMSfirst

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🚗 Transport

Transport • Logistics • Supply Chain

TMSfirst is a transportation management system (TMS) that provides agile, cloud-based supply chain visibility and analytics solutions. Designed for global businesses, TMSfirst helps clients reduce transportation costs and improve efficiency by integrating all modes of product movement including ocean, air, rail, bulk, FTL, and LTL into a single platform. Its AI-driven functionalities streamline logistics and procurement processes, ensuring real-time visibility, data harmonization, and optimized freight management for companies dealing with complex supply chain challenges.

📋 Description

• CIQ is seeking a highly experienced Senior or Principal Performance Engineer to own and drive system-level and application-level performance across our product portfolio. • Be the standard-bearer for performance at CIQ and ensure our performance-focused solutions are the fastest in the industry. • Involve closely with Fuzzball, integrating workloads through it. • Design, develop, and maintain comprehensive benchmarking frameworks spanning OS, kernel, and application layers. • Profile workloads across CPU, memory, I/O, network, and accelerator (GPU/NPU) subsystems to identify bottlenecks and optimization opportunities. • Establish and own performance baselines across CIQ's product and solutions portfolio. • Build and maintain automated performance regression-detection pipelines integrated into CI/CD workflows using Fuzzball. • Collaborate across engineering teams to root-cause regressions introduced by upstream kernel changes, compiler updates, or library modifications. • Drive proactive performance improvements across every layer of the stack. • Optimize for AI inference and training workloads, HPC workloads, and general computing and service workloads.

🎯 Requirements

• A deep, principled understanding of operating system internals - Linux kernel scheduler, memory subsystem, I/O stack, and networking. • Proven experience identifying and resolving performance regressions across kernel and user space in production environments. • Hands-on expertise with profiling and tracing tools: perf, eBPF/bpftrace, Flamegraphs, VTune, Nsight, strace, ftrace, and similar. • Strong background in AI/ML workload performance - including inference optimization (TensorRT, ONNX, vLLM, or similar), training efficiency, and GPU/accelerator utilization. • Experience with HPC workloads: MPI, OpenMP, parallel filesystems, RDMA/InfiniBand, and job schedulers (Slurm, PBS, etc.). • Familiarity with modern AI-first development workflows and comfort using LLM-based tools to accelerate engineering work. • Experience building automated performance testing and regression detection pipelines in CI/CD environments. • Excellent analytical skills - able to form hypotheses, design experiments, and draw actionable conclusions from complex data. • Strong written and verbal communication skills; able to present findings to both deeply technical audiences and business stakeholders. • A collaborative, humble, and always-learning mindset - combined with the confidence to champion performance as a first-class engineering concern.

🏖️ Benefits

• Medical, dental, and vision insurance. • Flexible paid time off. • Employee stock options. • Remote work; no travel required for most positions.