• Desenvolvimento e manutenção de painéis e dashboards no PI Vision para monitoramento operacional e gerencial. • Levantamento e entendimento de requisitos junto às áreas de negócio e operação. • Configuração de telas, gráficos, tendências, alarmes e indicadores em tempo real. • Integração e validação de dados provenientes do sistema PI System. • Sustentação dos painéis existentes, atuando na correção de falhas e ajustes evolutivos. • Monitoramento de performance e disponibilidade dos dashboards e ativos monitorados. • Atendimento de chamados, análise de incidentes e suporte aos usuários finais. • Criação de documentação técnica e procedimentos operacionais. • Apoio em testes, homologações e publicação de novas versões dos painéis. • Garantia de padronização visual, governança e boas práticas na construção dos dashboards.

Role Description We are seeking a GPU Systems Engineer with deep expertise in CUDA programming, GPU architecture, and high-performance computing to design and optimize compute-intensive workloads on modern accelerator hardware. This role focuses on extracting maximum performance from GPU platforms for AI training, inference, scientific computing, and high-throughput data processing workloads. The ideal candidate combines low-level systems mastery with strong software engineering practices, and has a track record of delivering measurable performance improvements on production GPU systems. 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 - Design and implement high-performance CUDA kernels for compute-intensive workloads across AI and HPC use cases. - Profile and optimize GPU code using tools such as Nsight Systems, Nsight Compute, and CUDA profilers. - Tune memory access patterns, occupancy, register usage, and shared memory utilization for peak performance. - Develop highly optimized libraries for linear algebra, attention, and other ML primitives. - Optimize multi-GPU and multi-node training using NCCL, RDMA, and high-performance networking. - Implement custom operators and fused kernels in PyTorch, JAX, or Triton. - Collaborate with ML engineers to identify performance bottlenecks in training and inference pipelines. - Develop benchmarks and regression tests to safeguard performance over time. - Evaluate new GPU architectures and feature sets, and advise on adoption strategy. - Contribute to compiler-level optimizations for tensor programs where appropriate, working at the boundary between ML frameworks and underlying accelerator codegen to unlock performance not reachable through framework-level tuning alone. - Optimize memory hierarchy usage across HBM, L2, shared memory, and registers. - Implement mixed-precision and quantized compute paths that maximize accelerator throughput while preserving numerical fidelity within bounds acceptable for the target workloads. - Document performance characteristics, design decisions, and tuning playbooks for internal teams. - Stay current with GPU architecture, CUDA evolution, and emerging accelerator technologies. Qualifications - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field. - Six or more years of experience in GPU programming and performance engineering. - Deep expertise in CUDA C/C++ and GPU programming models. - Strong understanding of modern GPU architectures, memory hierarchies, and execution models. - Hands-on experience profiling and optimizing GPU workloads in production. - Familiarity with NCCL, MPI, and high-performance interconnect technologies. - Experience integrating custom kernels into ML frameworks. - Strong C++ skills and familiarity with modern systems programming practices. - Solid grounding in linear algebra and numerical methods. - Strong communication and collaboration skills with research and engineering teams. Preferred Qualifications - Experience with Triton, CUTLASS, or other GPU kernel authoring frameworks. - Familiarity with TensorRT, FasterTransformer, or vLLM internals. - Exposure to compiler infrastructure such as LLVM or MLIR. - Open-source contributions to GPU or ML performance libraries. - Experience with large-scale distributed training infrastructure. 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) 505-3544. 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.

• Design and build core AI systems and platforms • Work on core backend systems that power Mural’s agent platform • Develop the agent memory layer and monitoring infrastructure • Translate complex product needs into backend architectures • Help define technical direction for agentic AI at Mural • Champion engineering excellence and mentor others • Contribute to team growth through hiring and process improvements

Role Description Do you love creatively solving problems for customers? Do you want an opportunity to effect change and make a difference at a leading technology organization? Join our dynamic Enterprise Applications team. Our Enterprise Applications team enables Akamai staff to deliver outstanding customer service through streamlined workflows. This global team collaborates across departments, automating processes and creating a unified framework of enterprise applications. Those efforts drive Akamai's growth and operational efficiency, resulting in significant cost savings for the organization. As a Business Systems Analyst, you will operate globally, bridging stakeholders and delivery teams to implement solutions. You will offer expert advice, foster collaboration, and ensure successful delivery of business-driven initiatives. - Analyzing business problems with stakeholders, recommending scalable solutions to support organizational goal achievement. - Facilitating requirement discussions, capturing thorough business and functional needs, and presenting them effectively to stakeholders and teams. - Collaborating with developers, architects, managers, QA, and stakeholders to deliver high-quality solutions meeting business needs. - Coordinating and leading user acceptance testing and resolving user issues post go-live. Qualifications - 4+ years of industry experience, and a Bachelor's degree in STEM field or equivalent work experience. - 3+ years experience in a Business Systems Analyst role for enterprise-class systems. - 3+ years experience writing business and functional requirements. - 2+ years experience with Salesforce CRM platform. - Demonstrate exceptional business communication abilities to engage effectively with stakeholders, and internal teams. Benefits Our ability to shape digital life today relies on developing exceptional people like you. The kind that can turn impossible into possible. We’re doing everything we can to make Akamai a great place to work. A place where you can learn, grow and have a meaningful impact. With our company moving so fast, it’s important that you’re able to build new skills, explore new roles, and try out different opportunities. There are so many different ways to build your career at Akamai, and we want to support you as much as possible. We have all kinds of development opportunities available, from programs such as GROW and Mentoring, to internal events like the APEX Expo and tools such as Linkedin Learning, all to help you expand your knowledge and experience here. Learn more Not sure if this job is the right match for you or want to learn more about the job before you apply? Schedule a 15-minute exploratory call with the Recruiter and they would be happy to share more details.