Role Description We’re looking for a Staff Operations Engineer – Ceph Storage to support our storage team in the Cloud Platform division. Our scale spans the globe, our transactions happen 24x7 in our global data centers, and every second that passes millions of requests are evaluated across our exchange. In order to achieve our mission, global efficiency and reliability are absolutely key, as every millisecond quite literally counts in our business. What We’re Looking For: - Facilitator : It’s essential that you can relay information and ideas effectively both within and across different teams. While we place a huge premium on technical skill, we value just as much your ability to work with other people. - Adaptable : Our industry moves fast and we need you to keep up and adapt. Acting as an Operations Engineer, you have the ability to prioritize tasks, often against competing scope and timelines. - Technical : A strong foundation in Operations, and experience in solving complex problems and building solutions (including CI/CD, real-time monitoring, production issues, etc.). - Rigorous : We design and manage massive, globally distributed systems that handle billions of transactions a day - your approach and solutions need to be thorough, scalable and ironclad. Here’s What You’ll be Doing: - Design, build and operate a highly scalable, performant and resilient storage layer that operates on a planet scale. - Developing and maintaining automation to handle logging, monitoring and maintenance of the storage layer. - Work with different technologies such as Hadoop, Spark, Aerospike, Kafka etc to enhance and optimize existing systems. - Participate in complex security system designs and mentor junior teammates. - Act as a senior contributor to the team who takes ownership of large projects and components. - Champions improvements to processes and procedures for the team and for the division. - Influence the team’s direction and foster accountability, trust, and focus on goals. - Live the values and promote those internally and externally. Qualifications - Experience with building, maintaining and troubleshooting open-source distributed storage solutions such as Ceph and storage orchestrators such as Rook, in a highly automated environment and at scale. - Experience with IaC and configuration management tools such as Salt, Ansible, Puppet or Terraform. - Experience with storage level replication technologies. - Strong experience with capacity planning, disaster recovery and monitoring.

Role Description We are looking for an Intelligent Edge Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs. - Design and implement edge AI solutions optimized for diverse hardware including mobile SoCs, NPUs, and embedded accelerators. - Apply quantization, pruning, distillation, and architectural optimization to fit models within edge constraints. - Tune model performance for latency, energy efficiency, and memory footprint on target hardware. - Build cross-platform inference runtimes leveraging frameworks such as TensorFlow Lite, ONNX Runtime, and Core ML. - Optimize models for specific accelerator backends including DSPs, NPUs, and mobile GPUs. - Implement on-device model update, versioning, and rollback workflows that allow safe staged rollouts to large device populations and rapid recovery if a model release behaves unexpectedly in the field. - Design hybrid edge-cloud architectures that gracefully degrade based on connectivity and device capability. - Build telemetry pipelines that respect privacy while enabling continuous improvement. - Collaborate with hardware, firmware, and product teams to align AI capabilities with device constraints. - Implement secure execution paths, model protection, and integrity verification on edge devices. - Develop benchmarking suites that characterize accuracy, latency, and energy trade-offs across devices. - Drive responsible AI considerations including on-device privacy and bias evaluation. - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time. - Stay current with edge AI hardware and software developments, regularly review release notes and community discussions, and translate noteworthy advances into concrete recommendations and adoption proposals for the team. Qualifications - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field. - Six or more years of experience in ML engineering, with significant work on edge or mobile AI. - Strong proficiency in Python and C++. - Hands-on experience with model compression, quantization, and pruning techniques. - Experience with at least one major edge inference framework. - Solid understanding of mobile and embedded hardware architectures. - Experience deploying ML models to production on mobile or embedded platforms. - Strong performance engineering and profiling skills. - Familiarity with on-device privacy and security considerations. - Strong communication and cross-functional collaboration skills. Preferred Qualifications - Experience with custom NPU or DSP toolchains. - Familiarity with federated learning or on-device personalization. - Exposure to safety-critical or industrial edge deployments. - Open-source contributions to edge AI frameworks. - Experience optimizing LLMs for on-device inference. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Title: Senior Storage Engineer Department: Network Job Description: Description Job Type Full-time : Location: Fort Worth | Department: Technology | Work Location Type: #remote #hybrid IREN is a vertically integrated AI Cloud provider, delivering large-scale data centers and GPU clusters for AI training and inference. IREN’s platform is underpinned by its expansive portfolio of grid-connected land and power in renewable-rich regions across North America, Europe and APAC. With 100% renewable energy, we build, own and operate our data centers and take pride in being at the forefront of sustainable solutions for the ever-evolving applications of high-performance compute. We believe that human progress is invaluable, but it should be done in the right way – responsibly, sustainably and having a positive impact on the communities we operate in. At the scale IREN operates, storage is a critical performance system. Every GPU in our clusters depends on data moving reliably, at speed and at volume. When storage falls short, AI training stalls, inference degrades and our customers feel it immediately. The role of Senior Storage Engineers owns storage infrastructure end to end. This is a hands-on, deeply technical role. You will design and deploy storage systems, keep them performing under demanding AI workloads, and troubleshoot complex faults quickly and decisively when things go wrong. The right person has spent years with their hands in large-scale storage environments. They know what good looks like, they know what failure looks like, and they know how to get from one to the other. They are comfortable working with significant autonomy, and they take personal ownership of production uptime. Requirements - Seven or more years of hands-on storage engineering experience in production environments, with meaningful time spent operating storage at significant scale. - A track record of deploying, operating and troubleshooting storage systems that serve demanding compute workloads. - Experience working in or alongside data center environments; comfortable in the physical layer as well as the software layer. - Prior exposure to the specific demands of AI training and inference I/O patterns is a strong advantage. - Strong understanding of cloud platforms. - Deep, practical knowledge of at least one major parallel or distributed file system used in high-performance environments. - Strong written and oral communication skills and the ability to interact effectively with executive leadership, service providers and potentially members of the community - Superior time management and multitasking skills with a strong sense of urgency - Proven active listening and speaking skills - Post secondary education in Computer Science or a related field.

Role Description We are seeking an Applications Engineer to support our Mining product lines, with a primary focus on Excavator Buckets, Ground Engaging Tools and Crawler Systems and broader support across for electric rope shovels and hydraulic excavators. This is a hands-on, customer-facing engineering role. You will work closely with customers, Sales, Product Design, Manufacturing and Supply Chain teams to understand site issues, support product performance and help turn field feedback into practical engineering solutions. This is a remote-based role for anyone currently based anywhere in Mauritania, with regular travel to customer sites (approximately 50–75%). Key Responsibilities - Provide technical support for mining customers and regional Sales teams. - Support product performance reviews, field evaluations and warranty-related technical analysis. - Assist with product design, customisation, reverse engineering and product improvement work. - Prepare solid CAD models, drawings, analysis/simulation inputs and technical documentation. - Work with internal teams to ensure products can be designed, manufactured and delivered to customer requirements. - Support product trials, testing, validation and customer feedback. - Maintain a strong focus on safety, quality, customer outcomes and Bradken’s engineering standards. Qualifications - A Bachelor’s degree in Mechanical Engineering or equivalent. - Experience in design, reliability, application engineering or a related technical role. - Experience in mining, construction equipment, fabrications, heavy manufacturing or similar industrial environments. - Product design, product development or project delivery experience. - Working knowledge of 3D CAD and FEA software. - A current driver’s licence and ability to travel locally and regionally. - Fluent in English and French skills are essential; Arabic language capability would be advantageous. - Experience with Siemens NX, ANSYS, Siemens Teamcenter PLM or 3D scanning will be highly regarded. - Knowledge of surface mining equipment, mine site requirements and MSHA or relevant regional mine hazard training will also be valued. Requirements - This is a 100% fully remote role and is strictly open to candidates currently residing within Mauritania. - Candidates must possess a highly stable, high-speed internet connection and a reliable power source suitable for remote digital work. Benefits - Safety first environment and mindset. - Flexible work options. - Competitive Total Reward Packages. - Employee Assistance Program for you and your family. How We Hire As we work with teams around the world, time‑zone differences can make live screening challenging. To support a fair, consistent, and inclusive evaluation, we may invite candidates to complete a one‑way video screening at a time that suits them. If you require adjustments or an alternative format, we’re happy to discuss this. Before commencing employment, you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. We respectfully request no recruitment agency approaches. Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance and business needs.