POSITION SUMMARY

CIQ is seeking a highly experienced Senior or Principal AI Engineer to own and drive AI/ML innovation across our product portfolio. This role sits at the intersection of AI engineering and systems performance - the right candidate brings deep expertise in model inference optimization, training workflows, and production AI deployment, combined with a strong instinct for performance at the systems level.

In this role, you will be the AI engineering standard-bearer at CIQ. You will design and build turnkey AI workload examples - both internal reference pipelines and customer-facing solutions - ensuring that CIQ’s AI story is always compelling, practical, and demonstrably best-in-class. You will integrate deeply with Fuzzball, CIQ’s cloud-native computing platform, running AI workloads end-to-end through it and helping customers do the same.

KEY RESPONSIBILITIES

This role is leveled as Senior or Principal based on qualifications and demonstrated capabilities.

AI Inference Optimization

• Design, implement, and tune inference pipelines for large language models and other AI workloads, targeting maximum throughput and minimum latency.
• Apply state-of-the-art optimization techniques: quantization (INT4/INT8/FP8), model pruning, speculative decoding, continuous batching, and kernel fusion.
• Optimize inference-serving stacks, including vLLM, TensorRT-LLM, ONNX Runtime, and similar frameworks, for production deployment on CIQ’s OS platform.
• Profile and tune GPU/accelerator utilization across the full inference stack, from model weights and memory bandwidth to CUDA kernels and driver overhead.
• Establish inference performance baselines and regression detection across CIQ’s AI-focused solutions.

AI Training Workflows

• Design and optimize distributed training pipelines for large-scale models, including data, model, tensor, and pipeline parallelism strategies.
• Tune training efficiency through mixed-precision training, gradient checkpointing, activation recomputation, and optimizer-level improvements.
• Benchmark training throughput and scaling efficiency across multi-GPU and multi-node configurations on CIQ’s infrastructure.
• Collaborate with infrastructure and performance teams to resolve training bottlenecks at the network (RDMA/InfiniBand), storage, and OS layers.
• Stay current on frontier model architectures and training techniques, including MoE models, RLHF pipelines, and emerging post-training methods.

Turn-Key AI Examples & Reference Workloads

• Build and maintain a library of turn-key AI workload examples that run on CIQ’s platform, covering inference serving, fine-tuning, batch processing, RAG pipelines, and agentic workflows.
• Develop both internal reference pipelines for CI/testing and customer-facing examples designed for immediate productivity on CIQ’s OS and Fuzzball.
• Package workloads using containers to deliver portable, reproducible AI environments across HPC and cloud-native settings.
• Create compelling, well-documented demos and reference architectures that communicate CIQ’s AI capabilities to technical and business audiences alike.
• Partner with product and customer success teams to translate real-world AI use cases into reusable, production-quality examples.

AI Engineering & Tooling

• Build and maintain AI-powered engineering tooling - leveraging LLM-based agents, automated analysis pipelines, and AI-assisted code generation to accelerate the broader engineering organization.
• Champion an AI-first development culture: identify opportunities where AI tooling can reduce toil, surface insights faster, and improve software quality across CIQ’s products.
• Evaluate and integrate emerging AI frameworks, libraries, and hardware as they become relevant to CIQ’s customers and product roadmap.
• Contribute to open-source AI tooling and frameworks where relevant, reinforcing CIQ’s technical reputation in the community.

Fuzzball Integration

• Develop deep expertise in CIQ’s Fuzzball platform, its architecture, scheduling model, and workload execution environment.
• Integrate AI training, inference, and pipeline workloads into Fuzzball-based CI/CD and production pipelines.
• Contribute to Fuzzball’s AI workload story: ensure the platform is a first-class environment for running AI workloads efficiently and at scale.
• Help characterize and improve Fuzzball’s performance for AI-specific access patterns and resource demands.

Cross-Functional Collaboration

• Develop broad familiarity with the full CIQ product portfolio, including Rocky Linux and RLC (and its variants), Fuzzball, Apptainer, and Warewulf, and understand how AI workloads interact with each layer.
• Collaborate closely with the Performance Engineering team to ensure AI workloads benefit from and contribute to CIQ’s systems-level optimization work.
• Partner with product and customer success teams to translate real-world AI pain points into engineering priorities and measurable outcomes.
• Document and communicate findings clearly, from low-level profiling data to executive-level summaries.
• Contribute to technical publications, conference presentations, and thought leadership that reinforces CIQ’s reputation as an AI-forward infrastructure company.

NEEDED TO SUCCEED

Successful candidates will have: 

• Deep, hands-on expertise in LLM inference optimization: including serving frameworks (vLLM, TensorRT-LLM, ONNX Runtime), quantization techniques, and GPU memory management.
• Strong background in distributed AI training, including frameworks such as PyTorch FSDP, DeepSpeed, Megatron-LM, or JAX/XLA.
• Proven experience building production AI pipelines and packaging AI environments for reproducible, portable deployment (containers, Apptainer/Singularity, or equivalent).
• Fluency with GPU/accelerator profiling tools: NVIDIA Nsight, PyTorch Profiler, CUDA performance analysis, and related tooling.
• Familiarity with HPC environments: job schedulers (Slurm, PBS), parallel filesystems, RDMA/InfiniBand, and MPI,  and the intersection of HPC with modern AI workloads.
• Experience integrating AI workloads into CI/CD pipelines and building automated testing and benchmarking frameworks.
• Comfort using and building with LLM-based tools and agentic frameworks to accelerate engineering work.
• Excellent analytical skills and able to form hypotheses, design experiments, and draw actionable conclusions from complex profiling 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 AI engineering as a first-class concern.

EDUCATION AND EXPERIENCE

• PhD in Computer Science, Machine Learning, Computer Engineering, or a related field strongly preferred; equivalent industry experience considered.
• 10+ years of industry experience in AI/ML engineering, systems software, or a closely related discipline.
• Demonstrated track record of measurable, published, or production-deployed AI performance improvements at scale.
• Experience working in or with open-source AI ecosystems (PyTorch, Triton, ONNX, Hugging Face, etc.) is a strong plus.
• Background with cloud-native, containerized, and/or HPC computing environments preferred.

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. This is an AI-first role, both in methodology and focus area,  and the right candidate will bring deep expertise in operating system internals, kernel and userspace performance, and the performance demands of modern AI workloads, HPC environments, general-purpose computing, and production service workloads.

In this role, you will be the standard-bearer for performance at CIQ. Our performance-focused solutions must always be the fastest in the industry, and you will be responsible for ensuring that remains true. You will be intimately involved with Fuzzball, CIQ's cloud-native computing platform, learning its architecture end-to-end and integrating workloads - both user-facing and CI/testing pipelines - directly through it.

Position Summary

This role is leveled as Senior or Principal based on qualifications and demonstrated capabilities.

Benchmarking & Profiling

• 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.
• Leverage AI-assisted tooling and agentic workflows to accelerate profiling, analysis, and root cause identification.

Regression Detection & Resolution

• Build and maintain automated performance regression-detection pipelines integrated into CI/CD workflows using Fuzzball.
• Identify, triage, and resolve regressions across user space, kernel space, and application layers with urgency and rigor.
• Collaborate across engineering teams to root-cause regressions introduced by upstream kernel changes, compiler updates, or library modifications.

Proactive Performance Engineering

• Drive proactive performance improvements - not just reactive fixes - to keep CIQ solutions ahead of the competition across every layer of the stack.
• Own core operating system performance: kernel subsystem tuning (scheduler, memory management, I/O, networking), system call overhead reduction, and user space library and runtime optimizations.
• Identify and implement kernel-level enhancements, including patches, configuration changes, and upstream contributions that yield measurable performance gains for CIQ's customer workloads.
• Optimize for AI inference and training workloads, including LLM serving, model parallelism, and accelerator utilization.
• Tune performance for HPC workloads, including modeling, simulation, and tightly coupled parallel applications (MPI, OpenMP, etc.).
• Optimize general computing and service workloads - web services, databases, messaging systems, and other production software that runs on CIQ's OS platform.
• Work at all levels of the stack: compiler flags, kernel parameters, scheduler tuning, NUMA topology, memory allocation, and application-level algorithmic improvements.

AI-First Approach

• Champion an AI-first engineering philosophy - use AI tools, agents, and automation to accelerate your own productivity and the quality of performance insights.
• Identify and prioritize optimization opportunities that directly impact AI training throughput and inference latency/cost.
• Stay current on state-of-the-art techniques in ML system performance, including quantization, batching strategies, kernel fusion, and hardware-software co-design.

Fuzzball Integration

• Develop deep expertise in CIQ's Fuzzball platform - its architecture, scheduling, and workload execution model.
• Integrate performance benchmarks, regression tests, and user-facing workloads into Fuzzball-based pipelines.
• Contribute to the performance characterization of Fuzzball itself, ensuring the platform adds minimal overhead and scales efficiently.

Cross-Functional Collaboration

• Develop broad familiarity with the full CIQ product portfolio — including Rocky Linux and RLC (and its variants), Fuzzball, Apptainer (formerly Singularity), and Warewulf - understanding how performance considerations span and interconnect across each.
• Collaborate deeply with the engineering teams behind each product line to surface, prioritize, and deliver performance improvements that benefit customers across the entire CIQ ecosystem.
• Partner with product and customer success teams to translate real-world performance pain points into engineering priorities and measurable outcomes.
• Document and communicate findings clearly - from low-level profiling data to executive-level summaries.
• Contribute to technical publications, conference presentations, and thought leadership that reinforces CIQ's reputation for performance excellence.

NEEDED TO SUCCEED

Successful candidates will have:

• 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.

EDUCATION AND EXPERIENCE

• PhD in Computer Science, Computer Engineering, or a related field strongly preferred; equivalent industry experience considered.
• 15+ years of industry experience in systems performance engineering, OS development, or a closely related discipline.
• Demonstrated track record of measurable, published, or production-deployed performance improvements at scale.
• Experience working in or with open-source ecosystems (Linux kernel contributions, upstream community engagement) is a strong plus.
• Background with cloud-native, containerized, and/or HPC computing environments preferred.

CIQ is looking for a Technical Product Marketing Manager who brings technical depth to execute content, enablement, and programs that require genuine infrastructure expertise to succeed.

This role operates from established positioning and messaging to produce the assets that move technical buyers through the funnel and equip sales teams to win complex deals. You will own CIQ's technical content library and webinar program, build the sales enablement collateral that reps and SEs actually use, and provide the competitive intelligence that sharpens how we sell. You will work closely with product management, engineering, and sales to stay current on the product and close the gap between what CIQ builds and what the market understands about it.

Position Summary

Technical Content

• Write and produce technical content across formats that practitioner audiences (developers, sysadmins, and infrastructure architects) actually read and trust: solution briefs, whitepapers, technical blogs, benchmark writeups, and data sheets.
• Partner with engineering and product to surface technically rich stories (benchmark results, architecture decisions, integration patterns, customer outcomes) and turn them into content that supports buying decisions.
• Apply established messaging and positioning consistently across all assets, maintaining accuracy and discipline across every format.
• Manage production volume and editorial calendar in coordination with the broader marketing team.

Webinar Program

• Own CIQ's webinar program end-to-end: strategy, calendar, production, promotion coordination, and performance tracking.
• Run a recurring cadence of webinars that support product launches, pipeline generation, and customer education, built around subject-matter experts and executives.
• Produce technical video content for YouTube and social distribution, including product demos, explainers, and launch assets.
• Track and report on attendance, engagement, and conversion, and use the data to improve program performance over time.

Technical Sales Enablement

• Build and maintain the technical collateral that equips sales and sales engineering to run evaluations and win competitive deals: battle cards, technical comparison guides, objection-handling frameworks, demo scripts, and proof-of-concept guides.
• Identify enablement gaps in partnership with sales leadership and sales engineering, and prioritize collateral that directly supports pipeline.
• Support RFP and RFI responses with accurate, current technical content.
• Keep enablement materials current as the product evolves and the competitive landscape shifts.

Technical Competitive Intelligence

• Monitor competitor products, positioning, announcements, and community activity across the Enterprise Linux, HPC, and AI infrastructure landscape.
• Produce and maintain competitive battle cards and technical comparison guides that help sales teams navigate contested deals.
• Provide regular competitive updates to sales, marketing, and product teams with clear, actionable takeaways.

Needed to Succeed 

Required

• Hands-on knowledge of Linux: distributions, package management, system administration, and the Enterprise Linux landscape. You can read a technical spec, spot a weak benchmark claim, and write content that earns credibility with practitioners.
• Proven track record producing technical content: solution briefs, whitepapers, technical blogs, or data sheets for developer and infrastructure audiences.
• Experience building technical sales enablement materials in close partnership with sales and sales engineering teams.
• Strong written communication skills. You write clearly, precisely, and without filler.
• Ability to work cross-functionally with product management, engineering, and sales in a fast-moving environment.

Strongly Preferred

• Familiarity with HPC, AI/ML infrastructure, Kubernetes, or hybrid cloud environments.
• Experience with competitive intelligence in the Linux or open source ecosystem.
• Experience coordinating or producing webinar programs, including technical demos and product launches.
• Background engaging with open source communities: Rocky Linux, CentOS, Fedora, or similar projects.

EXPERIENCE AND EDUCATION

• 3 to 6 years of experience in technical marketing, technical content, or product marketing in the Linux, open source, or enterprise infrastructure software space.
• Demonstrated ability to produce high-quality technical content for practitioner audiences with limited editorial oversight.
• Proven track record supporting sales teams with technical collateral that gets used.
• No specific degree required. A strong portfolio and demonstrable technical fluency matter more than credentials.

POSITION SUMMARY

As a Linux Sales Engineer, you will showcase excellent communication and client management skills. You will be responsible for analyzing client organizations’ systems to identify weaknesses and risks, proactively delivering clear, easy-to-understand assessments, and providing tangible solutions to mitigate those risks. You will also be expected to confidently defend your assessments when required.

You will also be part of the deal team, facilitating the sales process to a win-win conclusion. To be successful in this role, you must be articulate and able to speak to people of importance at the highest levels with respect and with quiet confidence. You will bring a strong understanding of confidentiality, maintain a high level of professionalism in conduct and appearance, and present yourself well with excellent communication skills and strong technical knowledge. You will report to the Regional Head of the Middle East and will work with other US-based departments as needed to maximize success. Travel within the region will be required from time to time.  

Additional responsibilities include, but are not limited to:

• Organize regular client meetings to discuss their requirements.
• Assist in troubleshooting and incident resolution in enterprise environments.
• Ability to create architecture solutions that make sense and create value for clients.
• Participate in project meetings and discussions to capture key decisions, action items, and project progress, and translate these into relevant documentation.
• Stay up to date on new internal features and product launches.
• Monitor and report on sales performance analytics.
• Recommend innovative ideas to optimize sales and improve customer user experience.
• Move with market trends and competitive landscape to promote thought leadership within the organization.
• Targeting new prospects and converting them into clients.
• Ability to provide SOW’s and POC’s in a clear, written, and accurate format.    
• Confidence to conduct training on-site at client organizations. 

NEEDED TO SUCCEED

Successful candidates will have: 

• Results-driven with a strong analytical mindset and commercial understanding.
• The ability to prioritize competing priorities and projects. 
• Great problem-solving, organizational, and project management skills. 
• Excellent written and verbal communication skills. 
• Interest in open-source software, including operating systems, cloud infrastructure, on-prem servers, or a hybrid environment, as well as knowledge in high-performance computing, including automation and orchestration solutions.
• Understanding and respect for UAE business etiquette
• A friendly, collaborative, humble, honest, and always striving-to-be-better attitude.
• Possess a deep understanding of the architecture, design, and implementation of multi-tiered client/server applications. 
• Focus and pre-sales experience are most preferred.

EDUCATION AND EXPERIENCE

• 10+ years of experience in Enterprise Linux, combined with pre-sales. 
• Demonstrated experience working in a remote team or collaborative environment. 
• A background in software, tech, or a related industry is preferred.