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.

Founding CTO at Redbolt.ai 

Redbolt AI is the security and reliability layer for in-production AI systems. It’s the commercial open core evolution of NVIDIA's open source red-teaming framework, garak, and NeMo Guardrails. Redbolt builds on trusted open source technology and adds the security layer that empowers users to deploy AI at scale.

We're looking for a Founding CTO to build Redbolt into an era-defining AI technology. As the founding CTO, you’ll define initial product vision, build commercial features and an engineering team to accelerate product velocity, get closer to customers, and deepen open-source contributions to NVIDIA's Garak. 

The opportunity

The market for AI security is early but moving fast. The risks of unguarded AI systems are well-known but the infrastructure to protect against these risks don’t really exist yet.

Redbolt starts with a meaningful foundation: NVIDIA's open-source tools already have community traction and credibility. Your job is to turn that into a product and company that enterprises depend on.

If you've been looking for the right moment to build something that matters, this is it.

The role

As the technical founder, you will: 

• Defining the vision. What should this company become? What's the product roadmap that turns open-source adoption into a billion-dollar enterprise business? You'll own that strategy.
• Building the foundation. You're writing code, shipping product, and making architectural decisions that will compound for years.
• Hiring the team. You'll recruit and lead the engineers who build Redbolt alongside you.
• Partner with a CEO. Once there's traction, OCV will lead a search for a co-founder CEO to partner with you - someone to own go-to-market, fundraising, and business operations while you own product and engineering. You'll be deeply involved in selecting that person.

About you 

You're a deep technical expert in LLM security, ML engineering, or adjacent infrastructure. You understand how these systems fail and how to prevent them.

You've operated at a high level technically: staff/principal engineer, engineering lead, or founded something yourself.

You're entrepreneurial. You've been waiting for the right opportunity to build something from the ground up, with real support and resources behind you.

You have conviction about the AI security space. You've thought about what needs to exist and have opinions about how to build it.

About Open Core Ventures

"As software has eaten the world, open source is eating software." — Peter Levine

Commercial open source software companies have captured hundreds of billions in enterprise value—yet this represents only a fraction of the trillions delivered by OSS today. We're still in the early innings.

GitLab co-founder and executive chair Sid Sijbrandij started Open Core Ventures (OCV) to accelerate this opportunity. We start companies around promising open source projects—the same approach that took GitLab from OSS project to IPO in seven years.

We recruit founders and help them reach escape velocity. We’ve started 30+ companies around open source projects, including Fleet, FlowFuse, and Mermaid Chart. 

You can read more about our approach in our public handbook.

We’re hiring an experienced Principal Verification Engineer to lead and innovate across multiple product lines. You’ll define verification strategies, develop advanced test environments, and collaborate globally to ensure every design meets the highest performance and reliability standards.

Responsibilities

• Lead verification planning and execution at the block and full-chip level.
• Partner with architects and designers to align verification goals with design intent.
• Build, enhance, and maintain UVM-based verification environments.
• Achieve and track coverage metrics to ensure complete functional validation.
• Collaborate with lab teams for silicon bring-up and debug.- Drive verification methodology improvements and mentor team members.

Qualifications

• MSEE with 10+ years or PhD with 7+ years of verification experience.- Advanced knowledge of SystemVerilog and UVM methodology.
• Proficiency in EDA tools such as VCS, Xcelium, and IMC.
• Strong scripting and automation skills (Python, Perl).
• Excellent communication and leadership across cross-functional teams.

Preferred / Plus

• Understanding of SVA and regression management tools (e.g., Jenkins).

eClinical Solutions is a global leader in clinical data intelligence, delivering the elluminate® Clinical Data Cloud® — an AI-powered platform driving agentic data review, SDTM automation, and RBQM for 18 of the top 50 pharmaceutical companies worldwide.

As part of our eNOVA AI-First transformation, we are embedding AI across every pillar of clinical development and enterprise operations — compressing cycle times, improving data quality, and redefining how work gets done.

As we scale our AI capabilities, we are building a high-impact, hands-on AI engineering function focused on delivering real, production-grade automation across the enterprise.

You will make an impact:

The Principal AI Engineer – Automation & AI is a hands-on technical leader responsible for designing, building, and deploying AI-powered automation solutions across eClinical Solutions.

This role is builder-first (70–80% hands-on development) and operates within a small, high-output team (2–4 engineers). You will work directly with the CTAO and business leaders to identify high-value use cases and rapidly translate them into working AI systems in production.

This is not a program management or oversight role. You are expected to build, ship, and iterate continuously, leveraging modern AI tooling and agentic frameworks to deliver measurable impact.

Accelerate your skills and career within a fast-growing company while impacting the future of healthcare.

Your day to day:

Building & Shipping AI Systems

• Design and deploy agentic AI workflows and automation solutions across enterprise functions including R&D, Engineering, Professional Services, IT, Finance, Sales, and Marketing
• Build production-grade systems such as:
• Multi-agent workflows
• RAG-based applications
• Document intelligence and summarization pipelines
• Workflow and process automation solutions
• Use modern AI tools and frameworks including:
• Codex, Claude Code, Gemini, NotebookLM
• LangChain, LangGraph, LlamaIndex (or equivalents)
• Rapidly prototype, validate, and deploy solutions in weeks, not months

Owning End-to-End Delivery

• Translate business problems into working AI systems
• Design lightweight architectures and iterate quickly
• Develop and implement:
• Prompt engineering strategies
• Orchestration logic
• API integrations and data pipelines
• Testing, validation, and monitoring frameworks
• Partner directly with stakeholders to refine outputs and drive adoption

Driving High-Velocity Execution

• Deliver continuous output with weekly or bi-weekly releases
• Prioritize use cases based on:
• ROI and business impact
• Technical feasibility
• Speed to value
• Operate with minimal process and high accountability in a fast-paced environment

Contributing to Scalable AI Foundations

• Build and maintain reusable assets including:
• Prompt templates
• Agent design patterns
• Integration utilities
• Contribute to lightweight standards for:
• Security and data handling
• Responsible AI practices
• Evaluation and performance monitoring

Technical Leadership & Mentorship

• Provide technical guidance to a small team of AI engineers and automation specialists
• Lead by example through hands-on contribution
• Support the evolution of the AI engineering function as it scales

Take the first step towards your dream career. Here is what we are looking for in this role.

Qualifications: 

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field
• 6–10+ years of software engineering experience with recent hands-on work in AI/LLM systems
• Proven experience building and deploying:
• LLM-powered applications
• Agentic workflows
• Automation solutions in production environments
• Strong hands-on experience with tools such as:
• Codex, Claude Code, Gemini, NotebookLM (or similar AI-assisted development tools)
• LangChain, LangGraph, LlamaIndex, or equivalent frameworks
• Proficiency in:
• Python
• API development and system integration
• Cloud platforms (AWS, Azure, or GCP)

Preferred

• Experience with:
• RAG architectures and vector databases
• AI evaluation frameworks, guardrails, and monitoring
• Workflow automation tools and enterprise integrations
• Experience working in regulated environments (e.g., life sciences, healthcare, financial services)
• Familiarity with clinical data, CDISC standards, or clinical development workflows
• Experience in high-growth or PE-backed SaaS environments

Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours!

eClinical is a winner of the 2025 Top Workplaces USA Award for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards celebrating our exceptional company vision, values, and work-life balance. See all the details here: https://topworkplaces.com/company/eclinical-solutions/

eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here!

We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.

Geneva Trading is looking for a Trade Support Engineer to be the primary point of contact for our trading desks. You will sit between the Traders and the Core IT team, ensuring our systems run smoothly and resolve any technical issues that pop up during the trading day. This is a fast-paced role that requires quick thinking, a solid technical background, and a good understanding of how financial markets work. 

What You’ll Do 

• Support the Desk: Act as the "first responder" for all trading application and hardware issues. If a trader has a problem, you are the person they call. 

• Troubleshoot & Fix: Investigate issues within our desktop and server applications. You’ll dig into log files to find out what went wrong and fix it. 

• Manage Connectivity: Onboard new traders, set up trading accounts, and manage credentials for various global exchanges (CME, ICE, etc.). 

• Improve the System: Use scripting (Python or Bash) to automate repetitive tasks and build better alerts so we catch problems before they affect trading. 

• Subject Matter Expert: Become the go-to person for our internal trading software. You’ll help train traders on new features and updates. 

• Deploy Updates: Test new software releases and manage the rollout to ensure everything stays stable. 

What We’re Looking For 

• Experience: 2+ years of experience in a trade support or application support role, ideally at a proprietary trading firm or bank. 

• Exchange Knowledge: Familiarity with how exchanges like the CME, Eurex, or ICE operate. 

• Technical Skills: 

• Strong experience with FIX Protocol. 

• Comfortable working in both Linux and Windows environments. 

• Ability to write basic scripts (Python, Bash, or Perl) to automate tasks. 

• Basic database knowledge (SQL) to look up trade data. 

• Utilize AI tools to assist in log analysis, script generation, and streamlining incident resolution workflows. 

• Soft Skills: You can stay calm and focused when things get high-pressure. You enjoy solving puzzles and aren't afraid to "get under the hood" of an application. 

• Availability: Since markets operate around the clock, you’ll need to be available for occasional on-call support or weekend work. 

Why This Role? 

This is a great position for someone who enjoys being close to the action of the markets. You’ll see the direct impact of your work on the trading floor every day and have the opportunity to master the technical side of electronic trading. 

Compensation 

Base Salary Range: $100,000 - $130,000, plus eligibility for a performance-based bonus. 

Final compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/ 

Application expected to close: 7/01/2026 

About Us

Imagine a world where passwords are obsolete, and you never have to recall security questions about your first pet. At PrivateID, we're making this a reality with secure, self-managed digital identities that feel almost magical: think biometric sorcery meets cryptographic brilliance. Trusted by global brands for our privacy-first solutions, we're rapidly scaling to meet the soaring demand for passwordless, zero-trust technology.

About the Role

We are seeking C++ Engineers with at least 10 years of experience who can lead by example, take ownership of complex systems, and help scale our platform. You should be capable of working independently and collaborate in a fast-paced, high-accountability environment.

Qualifications

• C++: Demonstrated experience in C++ programming with a strong understanding of language features and best practices.
• Multithreading and Synchronization in C++: Demonstrated experience on multi-threading and synchronization techniques in C++.
• CMake Proficiency: Experience with CMake for configuring and building C++ projects.
• Conan Package Management: Experience with Conan for managing dependencies in C++ projects.
• Linux Administration: Knowledge in Linux system administration, including terminal operations, SSH, and basic server management.
• Version Control with GitHub: Proficient in using GitHub for version control, branching, pull requests, and collaboration workflows.
• CI/CD with GitHub Actions: Experience setting up and maintaining CI/CD pipelines using GitHub Actions
• Unit Testing: Skilled in writing comprehensive unit tests to ensure code stability and quality.
• Image Processing: Background in image processing with C++ and OpenCV
• Python: Experience in Python for application development and scripting

Bonus Qualifications

• Ctypes: Experience integrating C++ modules into Python using ctypes including managing shared libraries and data type conversions.

Benefits

• Competitive compensation and equity
• A remote-first, collaborative culture

Important:

Candidates must pass a background check as part of the hiring process due to our work in the financial sector.

Equal Employment Opportunity

PrivateID values diversity and is committed to providing an inclusive work environment where all employees can excel. Qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status. Reasonable accommodations are available upon request to ensure equitable participation in our hiring process and workplace.

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

This is a general track for Senior+ (Senior/Staff/Principal) Engineers in any team at Canonical. After the first round of interviews we will establish which teams might be an excellent fit, and progress your application with them.

At Canonical a Senior+ Engineer is not only an outstanding software architect and coder, they also demonstrate the leadership qualities needed to rally a team or department to ship outstanding products. A Senior+ Engineer partners with other Engineering leaders (Managers, Directors, VPs) to take joint responsibility for outcomes at team, department and company level. We hire based on academic results and proven execution, and we select those with a passion for open-source software, innovation, and cutting-edge technology. In this role, you will make a significant contribution in Canonical's portfolio through high-quality code, technical leadership, team motivation and direction, exceptional design, and crisp documentation.

As a Senior+ Engineer you'll drive the architecture, design and evolution of high-impact open source software. Our teams work at every level of the stack. From the kernel and system software at the core of Ubuntu through to major language runtimes and the bleeding-edge of cloud automation and distributed systems, you'll have the opportunity to work on complex but highly rewarding projects. Our teams also build the services which deliver Ubuntu to the world, on cloud, devices, servers and PCs.

Additionally, this role will give you the opportunity to engage with the broader open-source community. We're looking for individuals who can help build a thriving community, contribute to a broad range of technologies, and ensure seamless software operations at scale.

Location: we have remote opportunities for Senior Engineers in every time zone.

The role entails

• Leading design and architecture of an impactful open source project
• Coding in Golang, Rust, Python, C/C++ or Typescript / React
• Collaborating proactively with a globally distributed team
• Mentoring, developing and advising colleagues in their career progression 
• Displaying technical leadership in Canonical and our communities 
• Debugging issues and producing high-quality code to fix them 
• Contributing to technical documentation with the aim to make it the best of its kind 
• Working from home with global travel twice annually for company events 

What we are looking for in you

• An exceptional academic track record from both high school and university
• Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path
• Drive and a track record of going above-and-beyond expectations
• Technical leadership as well as team motivation, direction and pace
• Deep experience with at least one of Go, Rust, Python or C 
• Conscientiousness and detail orientation, with a focus on performance
• Excellent communication skills including professional written and spoken English 
• Excellent interpersonal skills, curiosity, flexibility, and accountability 
• Ability to travel twice a year, for company events up to two weeks each

Nice-to-have skills

Depending on your eventual team, you might also bring experience with

• Container technologies such as LXD, Docker and Kubernetes
• Highly concurrent, distributed systems
• Performance engineering – from kernel to web – benchmarks, optimization
• Software security – fuzzing, tabletop threat models, analysis, audit
• Build systems and toolchains, including for cross-compilation
• Public clouds or OpenStack
• Debian/Ubuntu packaging
• Systems programming or scalable web services
• Deep quality and test engineering
• Web or Flutter front-end experience
• REST and gRPC API experience
• SQL and NoSQL data store expertise

What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit globally and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

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As Engineering Manager for the Customer Data Platform team at Postscript, you will partner with the team’s Principal Engineer & Architect to manage a team of skilled product and data engineers building our CDP from the ground up as part of Postscript’s transformation into an agentic-first company.

Engineering Managers are directly responsible for day-to-day people management of their direct reports. They focus on leadership, people management, and delivery/execution duties. Our backend, primarily Python within an AWS architecture, is evolving to meet scalability and complexity demands. Your team will be responsible for building greenfield data platform capabilities necessary to power segmentation, targeting, and agentic experiences across Postscript’s product suite.

The ideal candidate has experience leading small to mid-size engineering teams building data-intensive products. They have a passion for data infrastructure, product engineering, and delivering great work that drives business value. The best candidates possess the ability to perform the duties of a technical contributor, project manager, and people manager on any given day and know when and how to switch between those hats as needed to achieve success for their team(s) and the overall company.

Primary duties

• Lead a team of engineers building Postscript’s Customer Data Platform from the ground up
• Collaborate with product managers, data science, business stakeholders, designers, and other engineering teams to plan and execute work
• Carry out performance management duties for your direct reports via just in time feedback, 1:1s, annual reviews, and continuous improvement opportunities
• Consistently provide ongoing technical mentorship and general professional development for your direct reports and other engineers at Postscript
• Establish and continually improve development and team processes that yield maximum efficiency in day-to-day engineering operations
• Partner with the Principal Engineer & Architect and other technical experts to develop technical roadmaps for data infrastructure, pipeline reliability, and platform scalability
• Recruit and hire engineers on your team and on other teams, raise and advocate new positions on your team, and directly participate in the screening and evaluation of candidates
• Lead and participate in culture initiatives that will help us create the best engineering organization in the world

What We’ll Love About You

• A proven career directly managing engineers (ideally 3+ years of leadership experience).
• Experience building and scaling data platforms, pipelines, or event-driven systems.
• Comfortable partnering with highly technical senior ICs (Staff/Principal engineers) on architecture and technical direction.
• Strong understanding of data modeling, ETL/ELT patterns, and real-time processing.
• Demonstrated excellence in recruiting and onboarding engineers.
• Clear passion for people, management, and enabling people to do their best work.
• Early stage/high growth SaaS experience.
• Experience with cloud infrastructure (AWS preferred) including services like Kafka, Postgres, MongoDB, or similar.
• Introduced and maintained systems with a high level of observability (alerting, logging, monitoring).
• Lead teams that support deeply embedded integrations with external ecommerce and internal platform systems.
• Demonstrated passion for delivering great products (martech SaaS or ecommerce experience preferred).

What You’ll Love About Us

• Salary range of USD $203,000-$236,000 base plus significant equity regardless of location
• High growth startup - plenty of room for you to directly impact the company and grow your career!
• Remote team - work from home (or wherever!)
• Fun - We’re passionate and enjoy what we do
• Competitive compensation and opportunity for equity
• Flexible paid time off
• Health, dental, vision insurance
• Other great perks

As Senior Engineering Manager for the Messaging AI team at Postscript, you will lead a team of highly skilled product engineers to advance our automated one to one SMS marketing experiences to drive unprecedented conversion for top Ecommerce brands. 

Engineering Managers are directly responsible for day-to-day people management of their direct reports. They focus on leadership, people management, and delivery/execution duties. Our backend, primarily Python within an AWS architecture, is evolving to meet scalability and complexity demands. Your team will be responsible for building the product experiences necessary to continue AI solutions adoption and growth. 

The ideal candidate has multiple years of experience leading both IC engineers at their career pinnacle and managers of smaller engineering teams. Additionally, the ideal candidate has a passion for AI, product engineering and delivering great work that drives business value and improves the customer experience. The best candidates possess the ability to perform the duties of a lead engineer, project manager, and people manager on any given day and know when and how to switch between those hats as needed to achieve success for their team(s) and the overall company.

Primary duties

• Lead a team of engineers that are enabling the steel threads of our first AI products
• Collaborate with AI engineering teammates, product managers, business stakeholders, designers, and others to plan and execute work 
• Carry out performance management duties for your direct reports via just in time feedback, 1:1s, annual reviews, and continuous improvement opportunities
• Consistently provide ongoing technical mentorship and general professional development for your direct reports and other engineers at Postscript
• Establish and continually improve development and team processes that yield maximum efficiency in day-to-day engineering operations
• Partner with and grow Staff Engineers and technical experts in the organization to develop technical roadmaps and complete technical initiatives to enable engineering efficiency, handle the growth of our platform’s scale, and improve velocity  
• Recruit and hire engineers on your team and on other teams, raise and advocate new positions on your team, and directly participate in the screening and evaluation of candidates
• Lead and participate in culture initiatives that will help us create the best engineering organization in the world

What We’ll Love About You

• A proven career directly managing engineers and developing top performers into principal engineers (ideally 4+ years of leadership experience).
• Experience mentoring staff engineers and highly technical contributors.
• Experience working with AI technologies (predictive and generative)
• Demonstrated excellence in recruiting and onboarding engineers.
• Clear passion for people, management, and enabling people to do their best work
• Early stage/high growth SaaS experience. 
• Lead teams that have maintained critical infrastructure that internal and external developers build on.
• Introduced and maintained systems with a high level of observability (alerting, logging, monitoring).
• Lead teams that support deeply embedded integrations with external ecommerce and our own internal platform systems
• Demonstrated passion for delivering great products (martech SaaS or ecommerce experience preferred)

What You’ll Love About Us

• Salary range of USD $236,000-$268,000 base plus significant equity regardless of location
• High growth startup - plenty of room for you to directly impact the company and grow your career!
• Remote team - work from home (or wherever!)
• Fun - We’re passionate and enjoy what we do
• Competitive compensation and opportunity for equity
• Flexible paid time off
• Health, dental, vision insurance
• Other great perks

Engagement Type: Business-to-Business (B2B) / Independent Contractor 

Location: Remote

The Opportunity: Define the "Ground Truth" for Generative AI

We are looking to engage elite Subject Matter Experts (SMEs) to partner with us on high-impact AI evaluation and training projects. We are not looking for generalists; we are seeking established authorities—the top 1% in their respective fields—who are eager to apply their deep domain knowledge to shape the reasoning, accuracy, and safety of next-generation Large Language Models (LLMs).

This is a consulting engagement for independent professionals who want to help define what "perfection" looks like in their industry. You will not just be grading AI; you will be architecting the "Gold Standard" rubrics that teach models how to think like an expert.

Scope of Services & Deliverables

This engagement focuses on high-level advisory and specialized analysis. Consultants will operate under a Statement of Work (SOW) to provide the following deliverables:

• Rubric Architecture: Review and advise on the quality criteria used to evaluate AI outputs. You will determine if the AI’s logic holds up to professional scrutiny in your field.
• "Golden" Data Curation: Create, edit, or certify "Golden Tasks"—benchmark examples of perfect prompts and responses that serve as the ground truth for model training.
• Expert Gap Analysis: Analyze model failures (hallucinations, logical fallacies) and provide technical breakdowns of why the model failed and how a human expert would have approached the problem.
• Advisory on Complexity: Consult on the difficulty and nuance of specific prompts to ensure the AI is being tested against sufficiently rigorous scenarios.

Consultant Profile: Who We Are Looking To Partner With

We are seeking independent business owners, freelancers, and academic leaders who possess:

• Elite Domain Mastery: Advanced degrees (PhD, MD, JD) or equivalent industry-recognized status (e.g., Senior Principal Engineer, Published Author, Award-Winning Creative).
• Professional Autonomy: You currently operate as an independent consultant or freelancer and have your own workflows, equipment, and professional methodology.
• Interest in Shaping Technology: While prior experience in AI evaluation is a bonus, it is absolutely not required. We want industry veterans who are eager to set the "gold standard" for how AI should operate within their specific profession.
• Articulate Reasoning: The ability to not just know the right answer, but to articulate the reasoning process clearly in writing.

Engagement Structure & Compliance

This is a strictly non-employee, independent contractor opportunity designed for professionals who manage their own business operations.

• Engagements are project-based and non-exclusive, allowing you to continue working with other clients
• You have flexibility in how you complete deliverables, in alignment with project requirements
• Scope, timelines, and compensation are defined in advance for each assignment
• Remote & Independent: You provide your own workspace and equipment.
• Global Compliance: Candidates must be properly registered to operate as independent contractors in their country of residence.

Why Top-Tier Consultants Partner With Us

• Intellectual Challenge: This is rare, cerebral work that challenges you to deconstruct your own expertise to train a machine.
• High-Value Impact: Your input directly influences the safety and capability of models used by millions.
• Flexible Revenue Stream: Supplement your primary consulting business with flexible, high-value project work.

About The Role:

The Software Engineering team at Shardeum is responsible for delivering the Shardeum Mainnet, and developing the smart contract platform, the consensus layer and the protocol layer. We focus on building scalable, performant, secure and reliable software that can be downloaded by thousands of node operators to actualize the Shardeum network. We are in search of a highly talented, innovative Principal Blockchain Engineer that can take on a technical leadership role on highly complex, blockchain projects.

If you enjoy solving complex computer science problems, are passionate about what you work on, are a perfectionist who wants to build things the right way, and are persistent about finishing what you started, then you're the kind of person we are looking for. You will be working with equally talented and innovative individuals with the goal of building incredible software with the potential to change the world.

What You'll Be Doing:

• Provide technical structure to teams and work closely with management and stakeholders to define strategic road maps for complex, Layer-1 blockchain projects.
• Manage individual projects, priorities, deadlines and deliverables with your technical expertise.
• Mentor and train other team members on design techniques, coding standards and best blockchain basics.
• Contribute to the architecture and implementation of complex software components on the blockchain.
• Take on end-to-end ownership of critical software components related to our L1.
• Design and develop innovative new consensus and protocol software.
• Ensure performance optimization, and making scalability / reliability improvements to the software.
• Resolve issues, debugging errors and fixing code to improve the reliability and security of Shardeum software components.
• The tech stack you will be using is: Nodejs, TypeScript, SQLite, Postgres, React and Vuejs.
• The development environment will be: Linux, Git, AWS, Docker and VS Code.

What We're Looking

• Extensive experience designing, implementing and maintaining complex blockchain components.
• You know what high quality code looks like and know how to foster an environment that creates it.
• Fluency with algorithms and data structures.
• The ability to quickly learn new languages and technologies.
• The ability to write clean yet efficient code.
• The Creativity to come up with proof of concept from high level design, even in an often ambiguous environment.
• Hands-on knowledge and experience with AI tools (Cursor, Github Copilot, Windsurf, Cline, etc...), and the ability to demonstrate how you utilize them in your day to day.
• Self motivated to set priorities and methodically make progress toward goals.
• The ability to communicate effectively and convey your ideas when discussing technical topics with team members.
• Bachelor's Degree in Computer Science or a related field.

We'd Love If You Have:

• Experience working on all levels of a Layer 1 blockchain.
• Experience with concurrency, parallelism and distributed systems.
• Experience with consensus protocols and other blockchains.
• Experience with Node.js and TypeScript, or languages like C, C++, Rust or GO.
• Experience writing a smart contract on a blockchain.
• Experience running a node in a blockchain network.
• Read the Bitcoin and Ethereum white papers.

Summary

Glide is looking for a Tech Lead Manager to lead our Platform engineering team. We are growing fast and need to evolve our data sources strategy, become more efficient with our infrastructure utilization as we scale, and achieve a high level of operational excellence for availability, security, and performance.

The ideal candidate has experience establishing services and architectural patterns that scale predictably, evolving legacy services already in production, and building data and infrastructure teams.

We’re building a simpler, faster way for anyone to build custom software for their business, without any technical or design skills. Tens of thousands of non-technical people use Glide to build apps to power their businesses, organizations, personal projects, and more. As customers create apps to visualize, interact with, take action on, and analyze their growing data sets, we must keep this big picture in mind as we improve various levels of our engineering stack.

Responsibilities

As an engineering manager leading a deeply technical area, we don’t expect you to write code, but you should be able to engage in conversations around code, infrastructure, and architectural designs.

Technical

• Facilitate the standardization of Glide’s data sync and persistence infrastructure

• Drive integrations with data source platforms to be able to provide customers with new data sources at an accelerated pace

• Design, develop, and maintain a REST API into Glide’s data and core services

• Provide build, test, and runtime infrastructure to service teams

• Ensure patterns are established for database throttling and request rate limiting to protect Glide’s uptime

• Monitor infrastructure costs and coordinate improvements when necessary

• Drive SRE tooling and best practices around observability and alerting

People Management

• Cultivate an environment where team members are empowered through a collective sense of ownership and belonging

• Meet with team members 1-on-1 on a regular basis

• Ensure that team members learn, grow, and advance in their careers

• Create a shared understanding of decision making, direction, and progress for the team and the company

• Encourage an environment of technical excellence, and facilitate architectural discussions and decision making

• Provide technical project management support to the team, ensuring projects are scoped well for delivery, managed for risk, and delivered well

• Collaborate with cross-functional stakeholders and across team boundaries to deliver key parts of our roadmap

Minimum Qualifications

• 5+ years engineering management experience

• Experiencing building and maintaining highly available and scalable distributed systems

• Have previously managed or built an infrastructure, developer experience, data, API, or equivalent platform team

• Deep understanding of Accelerate concepts of Lead Time, Deployment Frequency, Mean Time to Recovery, Change Failure Rate and how they affect delivery

• You are a clear and effective communicator, be it when you write code, write emails, or explain complex technical issues to non-technical co-workers

• Passionate and self-motivated, with a demonstrated ability to work in a fast-paced and evolving environment

Preferred qualifications

• Experience with data source platforms like Supabase, Airtable, Firestore, Sequin, Paragon

• Experience with Google Cloud Platform services like Cloud SQL, Cloud Run, AlloyDB, or equivalent

• Scaled an event-driven architecture using Apache Kafka, Cloud Pub/Sub, or other eventing system

• Have given conference talks around the OpenAPI spec, REST, or GraphQL API patterns

• Familiarity with telemetry and monitoring solutions like Datadog, Prometheus, Grafana, Splunk, Google Cloud Logging

• Bachelor or Master’s degree in Computer Science, Software Engineering, or related field

Compensation

We offer a competitive salary and benefits package, a supportive and dynamic remote work environment, and opportunities for career growth. If you are a self-starter with a passion for scaling platform services and the teams that support them, we want to hear from you!

Glide is an equal opportunity employer and welcomes applicants from all backgrounds to apply.