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.

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: The Core Services team owns the sensor infrastructure that every CrowdStrike endpoint depends on: secure network communications, cryptographic operations, content delivery, and secure local data storage. These are foundational runtime components that execute on every protected endpoint across Windows, Linux, and macOS. As a Senior Engineer on this team, you will build, extend, and maintain the low-level systems that connect the Falcon Sensor to the CrowdStrike cloud — handling connection lifecycle management, traffic and protocol management, cryptographic integration, content delivery, and on-device storage at endpoint fleet scale. This is a systems software role. You'll work close to the OS across multiple platforms, reason carefully about correctness and performance under real-world load, and hold a high engineering bar in a codebase where reliability is non-negotiable. You will work cross-functionally with peer engineers across Mac, Linux, Windows, and many other teams inside and outside your core organization in a diverse environment. You're stepping into a team with established component ownership and a charter that is actively expanding. The engineering spans cross-platform correctness, performance-sensitive code paths, and cryptographic and network components where a defect is a security event. You'll work alongside engineers who take the reliability bar seriously; regressions here land on every protected endpoint simultaneously. If you want to build foundational software that runs at global scale and has a direct impact on security outcomes, this is the role. What You'll Do: - Design, implement, and own core sensor infrastructure components: network communications stack, connection lifecycle and traffic management, cryptographic integration, content delivery, and on-device secure storage - Take end-to-end ownership of your work — from design through production validation across Windows, Linux, and macOS, including the testing and rollback story - Serve as a technical integration point with sensor, cloud communication, and policy teams; proactively own interface contracts and surface breaking changes early - Drive technical proposals and design docs; lead design reviews for your area and provide substantive review feedback that raises the bar for the whole team - Represent the team's technical position in cross-org planning and architecture discussions; communicate tradeoffs and risks clearly to engineering, product, and program partners - Participate in planning; help scope work, identify dependencies, and flag technical risk early - Mentor and grow more junior engineers through direct feedback, pairing, and collaborative code and design review - Investigate and resolve production incidents and complex escalations; build the team's shared knowledge of failure modes at fleet scale - Champion improvements in end-to-end testing and validation for components with strict correctness and reliability requirements What You'll Need: - Strong foundation in systems software engineering; hands-on experience in C and/or C++ in a low-level systems context - Solid technical grounding in network protocols, connection management, and traffic and protocol management; working familiarity with cryptographic integration and content delivery - A "learn it all" mindset with curiosity to dive deep into unfamiliar domains and adapt quickly as technology and requirements evolve - Experience reasoning about reliability and correctness for software that runs at endpoint fleet scale - Cross-platform exposure across Windows, Linux, and/or macOS; ability to reason about portability, behavioral consistency, and platform-specific constraints - Solid design and problem-solving instincts; ability to own ambiguous technical problems and drive them to clean resolution - Ability to influence technical direction across team boundaries without direct authority, using design docs, prototypes, and well-reasoned technical positions - Strong written and verbal communication; able to convey complex technical topics clearly to both technical and non-technical audiences - Strong engineering fundamentals: testable, reviewable code; careful about edge cases; high personal bar - Ability and willingness to travel occasionally for team offsites and in-person meetings - Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. Bonus Points: - Background in endpoint security, EDR, kernel-adjacent software, or sensor platform engineering - Experience with cryptographic service design or integration with security-critical cryptographic libraries - Experience building or operating content distribution or configuration delivery systems at endpoint fleet scale: atomic updates, staged rollout, versioning, and rollback-safe delivery - Open source contributions, technical writing, or a visible engineering presence through conference talks or published work #LI-CW1 Benefits of Working at CrowdStrike: - Market leader in compensation and equity awards - Comprehensive physical and mental wellness programs - Competitive vacation and holidays for recharge - Paid parental and adoption leaves - Professional development opportunities for all employees regardless of level or role - Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections - Vibrant office culture with world class amenities - Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. CrowdStrike Canada ULC is committed to equal pay for equal work in its compensation practices. The base salary range for this position in Canada is $150,000 - $200,000 CAD per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. This is Canadian-based employment, and it is expected that all employees maintain legal entitlement to work in Canada. Applicants selected to move forward in the hiring process are subject to background checks, including but not limited to criminal record, credit, and/or reference checks.