Role Description We are seeking an AI Performance Optimization Engineer to focus on extracting maximum throughput, minimizing latency, and reducing cost across training and inference workloads for large neural network systems. The role spans the full stack from low-level kernel optimization to distributed system tuning, requiring deep understanding of GPU architecture, model parallelism, memory management, and compiler-level optimization. The ideal candidate has demonstrated an impact on production of AI workloads, with strong instrumentation and measurement discipline that enables rigorous, data-driven optimization decisions. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Key Responsibilities - Profile and optimize end-to-end AI training and inference pipelines for throughput, latency, and cost. - Identify and eliminate bottlenecks across data loading, model compute, communication, and memory. - Implement and tune quantization, sparsity, and pruning strategies to reduce model footprint and accelerate inference. - Optimize distributed training using tensor parallelism, pipeline parallelism, FSDP, and ZeRO-style sharding. - Tune attention implementations using Flash Attention, paged attention, and related techniques. - Implement KV cache optimization, continuous batching, and speculative decoding for LLM serving. - Drive compiler-level optimizations using Triton, XLA, Torch Inductor, or TVM, working with the broader ML framework community to land improvements that translate into measurable end-to-end performance gains. - Optimize data pipelines, sharding strategies, and storage access patterns for high-throughput training. - Build and maintain rigorous benchmark suites and regression frameworks across workloads. - Collaborate with ML and platform engineering teams to embed best practices in standard pipelines. - Drive cost-efficiency improvements through model architecture, hardware selection, and scheduling strategies. - Evaluate new hardware and software offerings and advise on adoption. - Document performance tuning playbooks and share findings broadly across engineering teams. - Stay current with AI systems to research and translate advances into production improvements. Qualifications - Bachelor's or master's degree in computer science, Computer Engineering, or related field. - Six or more years of experience in performance engineering, ML systems, or HPC. - Strong proficiency in Python and C++. - Hands-on experience optimizing deep learning workloads on modern GPUs. - Deep understanding of distributed training and inference techniques. - Experience with profiling tools across CPU, GPU, and distributed systems. - Familiarity with model compression techniques and their accuracy implications. - Strong grasp of memory hierarchies, communication primitives, and parallelism strategies. - Excellent measurement, debugging, and analytical reasoning skills. - Strong communication and collaboration skills. Preferred Qualifications - Experience optimizing LLM inference at production scale. - Contributions to vLLM, TensorRT-LLM, DeepSpeed, or similar projects. - Familiarity with custom kernel authoring in Triton or CUTLASS. - Experience with FinOps for AI workloads. - Publications or talks on AI systems performance. 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) 650-6699. 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.

Role Description The Enterprise Architect provides strategic architectural leadership across the enterprise. This role owns enterprise direction, architectural coherence, and cross-domain alignment by translating business strategy into architecture principles, guardrails, reference architectures, lifecycle decisions, and roadmaps. The Enterprise Architect guides and governs rather than designing project-specific solutions or performing implementation work. We are looking for an Infrastructure Enterprise Architect. This is a remote position. We are looking for candidates in MO or IL. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field; master’s degree is a plus. - 10+ years of IT experience with 5+ years in architecture roles spanning multiple technology or business domains. - Demonstrated experience with architecture principles, governance models, reference architectures, portfolio analysis, modernization planning, and business capability-based planning. - Broad knowledge across cloud, integration, data, security, infrastructure, and applications, with the ability to operate with breadth rather than deep implementation ownership. - Strong working knowledge of architecture governance, cross-domain dependency management, and arbitrating architectural conflicts. - Strong executive communication, facilitation, and influence skills in complex environments. Requirements - Education: Bach Deg and/or Equivalent Exp - Experience: 5-10 years - Supervisor Experience: No Experience Preferred Qualifications - Education: Bachelor's Degree - Experience: 10+ years - Licenses & Certifications: MS Azure Solns Arch Expert, The Open Group Arch Framework Responsibilities - Collaborates to develop current state, future state architectures and implementation plans. - Mentors solution architects in architecture development and execution of architecture processes. - Reviews proposed architectures and provides guidance for mitigation of critical issues. - Researches and collaborates with teams to identify relevant technology change drivers and opportunities that will impact the enterprise environment. - Leads and mentors enterprise proof-of-concept efforts to ensure alignment with business requirements and key principles. - Develops technology roadmaps which have organizational support and commitment. - Develops and presents planning, status and guidance documents that are audience appropriate. - Develops enterprise and domain reference architectures and processes to provide technical guidance. - Facilitates and mentors solution development and implementation of strategic efforts as needed. - Collaborates with technical teams and SMEs in the development, maintenance and publication of technology standards. - Collaborates with multi-domain technology working groups to identify key issues and develop solution plans. - Collaborates in events focused on information and perspective sharing with internal and external technology leaders and experts. - Actively identifies and engages in efforts to assist with process guidance and information evaluation. - Develops and shares processes that allow for consistent execution of analysis and decision making efforts. Benefits - Comprehensive medical, dental, vision, life insurance, and legal services available first day of the month after hire date. - Disability insurance paid for by BJC. - Annual 4% BJC Automatic Retirement Contribution. - 401(k) plan with BJC match. - Tuition Assistance available on first day. - BJC Institute for Learning and Development. - Health Care and Dependent Care Flexible Spending Accounts. - Paid Time Off benefit combines vacation, sick days, holidays and personal time. - Adoption assistance.

• We’re looking for an Engineer to help build and operate the infrastructure behind Zencoder’s AI-powered products. • You’ll work across our production platform, improving its reliability, security, scalability and cost efficiency. • This includes our Kubernetes foundations, cloud infrastructure, networking, data systems and the internal tooling that enables engineers to deploy and operate services confidently. • This is a hands-on engineering role rather than a traditional operations position. • You’ll write code, automate infrastructure, investigate production issues and design systems that reduce operational complexity as the company grows. • The exact problems will evolve quickly. You should be comfortable taking ownership of unfamiliar systems, identifying the highest-leverage improvements and moving between immediate production needs and longer-term platform investments.

Title: Graduate - Infrastructure Location: Australia Job Description: - Permanent full time opportunity post 2 year graduate program - Our program is designed to support your learning and development - Location: Alexandria Head Office / Kurnell Terminal (Sydney, NSW) About Ampol Ampol is a leader in the trans-Tasman transport fuels industry, supplying Australia's largest branded petrol and convenience network, and the owner of Z Energy Limited - a trusted and iconic New Zealand brand. We have also expanded our supply chain and operations into international markets, which operate out of Singapore and Houston, USA. Our Graduate Program Our program is built around structured rotations that immerse you in different areas of the business over two years. You'll gain hands-on experience, develop a well-rounded skill set, and build a strong understanding of how the organisation operates-setting you up for long-term career success. Along the way, you'll benefit from tailored learning and development designed specifically for early-career professionals. From self-paced growth through LinkedIn Learning to interactive workshops, you'll build key skills in communication, leadership, and time management to support your ongoing development. Your rotations: During your time at Ampol, you will join the Infrastructure team and gain experience across Distribution and Infrastructure Strategy & Projects in your first two rotations. We are committed to supporting your development and value your feedback throughout the program, ensuring your rotations provide meaningful learning opportunities and help prepare you for your permanent placement. About you Our ideal candidates are driven to develop commercial, operational, and stakeholder engagement skills, with a passion for continuous improvement and delivering value across our Infrastructure and Commercial Fuels operations. Eligibility/Qualification criteria - Must be a Citizen / Permanent Resident to be considered for this program - Tertiary qualification in Engineering (any discipline) or a Science related field and recently graduated Our benefits - Our total remuneration is competitive. This is across base salary, a performance incentive, employee share offers and a 25% discount on Fuel for two privately used cars! - Access to Ampol''s Benefits & Recognition platform: providing you access to retail discounts and cashbacks at over 500+ retailers in Australia that assist with everyday living expenses. - We are flexible. Many of our teams have embraced hybrid work, balancing time spent remote working, with time spent at an office to connect and work together where it adds value. - Remote Working: Support for up to 3 months remote international working (conditional to 5 days paid leave for every 30 days of remote work). - We value recognition. We have an internal recognition platform amplifying the achievements of those who do great work and demonstrate our capabilities and values. - Career development and learning opportunities including LinkedIn Learning and other tailored training solutions. - Paid Parental Leave - up to 12 weeks paid Parental leave, and up to a year off (unpaid). In addition to the 12 months of unpaid parental leave, employees may apply for a further 12 months of unpaid parental leave (a total of 24 months for each birth) - BabyCare Package - financial and flexible support for parents transitioning back to work. - Need some wheels? Novated Lease options are available. - Invest in your future with the Employee Share Scheme - Leave Options - We offer wellbeing leave and leave purchasing - Care for your Community. Spend one paid day a year volunteering with one of our Ampol Foundation partners. We're an equal opportunity workplace. We not only embrace diversity and inclusion; we celebrate what makes you unique. We welcome applications from people of all ages, cultural backgrounds, and diverse sexualities and genders (including if you identify as transgender). We also highly encourage Aboriginal and Torres Strait Islander peoples to apply for roles with Ampol.