Data Engineer, CPU & Storage

Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. Build and maintain the load, chaos and synthetic testing software leveraged by development teams to make the systems they design and operate more reliable. Build and maintain automation tools to streamline repetitive tasks and improve system reliability. Build and maintain the platform for CPU/storage, GPU, and network lifecycle management to drive efficiency, accountability and support dynamic optimization of our resources. Implement fault-tolerant and resilient

NK Securities Research is a leading financial firm that leverages cutting-edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High-Frequency Trading (HFT) across different asset classes. Role Overview We’re looking for engineers who can take AI work beyond experiments and make it hold up in production. You’ll work closely with quant researchers and infra engineers to build AI systems that actually get used improving research speed and internal tooling without slowing down the core stack. We value engineers who think about trade-offs, test what they build, and care about how things run in production. What You’ll Build Production AI Ship models that meet defined latency and reliability expectation Add monitoring, rollback, and guardrails before anything goes live Optimise inference across CPU/GPU environments when it matters Integration into Real Systems Plug AI into data-heavy workflows without hurting performance Work within existing low-latency architecture instead of fighting it Profile and remove bottlenecks rather than guessing AI for Engineers & Researchers Build tools that genuinely speed up research and development Improve code understanding, review workflows, and internal knowledge retrieval Keep systems auditable and predictable LLM & Retrieval Systems Implement structured RAG and embedding pipelines with validation in place Create safe integration layers between models and internal systems Performance & Standards Track latency, drift, and stability — not just accuracy Build observability into everything you ship Help raise the bar for how AI is engineered here What We’re Looking For Strong Python fundamentals Clear thinking around system design and performance trade-offs Experience deploying AI systems in production (1–5 years is typical) Familiarity with transformers, embeddings, or LLM deployment Nice to have: Exposure to C++ / Rust / Go E

Silicon Verification Engineer Multiple roles across different levels Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing. The verification team sits within the Silicon design team and is responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. The silicon verification engineer is responsible for verification activities within Graphcore, helping the team meet the company objectives for quality silicon delivery. Responsibilities Verification planning, specification and closure of functional coverage Providing feedback to architects Test generation and failure diagnosis/triage Contributing to shared verification infrastructure Ensuring good communication between sites Essential skills: • Verification experience in relevant industry • Proven leadership and planning skills • Highly motivated, a self starter, and a team player • Ability to work across teams and programming languages to find root causes of deep and complex issues • Experience of the verification process applied in CPU and/or ASIC environments • System Verilog, Python, C++, Linux Desirable skills: • UVM • SVA • Assembly languages • LLVM, GCC • DVCS e.g. Git • SGE or other DRMS • XML and XPath/XSLT • Web programming – HTML/DOM, Javascript, SQL Benefits: In addition to a competitive salary, Graphcore offers a competitive benefit

Silicon Verification Engineer Multiple roles across different levels Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing. The verification team sits within the Silicon design team and is responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. The silicon verification engineer is responsible for verification activities within Graphcore, helping the team meet the company objectives for quality silicon delivery. Responsibilities Verification planning, specification and closure of functional coverage Providing feedback to architects Test generation and failure diagnosis/triage Contributing to shared verification infrastructure Ensuring good communication between sites Essential skills: • Verification experience in relevant industry • Proven leadership and planning skills • Highly motivated, a self starter, and a team player • Ability to work across teams and programming languages to find root causes of deep and complex issues • Experience of the verification process applied in CPU and/or ASIC environments • System Verilog, Python, C++, Linux Desirable skills: • UVM • SVA • Assembly languages • LLVM, GCC • DVCS e.g. Git • SGE or other DRMS • XML and XPath/XSLT • Web programming – HTML/DOM, Javascript, SQL Benefits: In addition to a competitive salary, Graphcore offers a competitive benefit

Envoy Global is a proven innovator in the global immigration space. Our mission combines our industry-leading tech platform with holistic service to streamline, simplify and expedite the immigration process for employers and individuals. We are looking for a highly skilled Lead Software Engineer to join our team on a full-time, permanent basis. In this role, you will lead the design and implementation of robust, scalable systems, provide technical direction to the team, and take ownership of end-to-end delivery. You will play a key role in building high-quality solutions across APIs, microservices, and integrations, while driving engineering excellence and best practices. As our Lead Engineer, you will be required to: Design, code, and unit test platform and integration components Develop frameworks for standardizing and enabling data flows via APIs, files, microservices, and message queues. Provide technical guidance to the team and take ownership of delivery Responsible to technically groom backlog items providing design, architecture, and implementation details Quality is the key driver to product engineering, ensure highly testable and quality deliverables To apply for this role, you should possess the following skills, experience and qualifications: Minimum 8+ years of strong programming experience on .NET platform, Microsoft Tech Stack Expertise in C#, ASP.NET Web API / Typescript / Angular (or any front-end framework or passion to learn Angular) Experience developing with containers, micro-services, and message queues Dedication to delivering high-performance, secure and scalable services Experience working with a wide variety of systems and integrating APIs from third parties Hands on experience with SQL and query optimization Analytical and troubleshooting skills to investigate and resolve issues Ability to dig through Memory, CPU and IO bottlenecks to improve performance and scalability Azure experience is a plus Knowledge and experience

Job Overview: We are seeking a high-caliber Rust Systems Engineer to design, build, and optimize high-throughput, low-latency backend systems and infrastructure. In this role, you will go beyond web APIs—tackling low-level performance bottlenecks, complex state management, parallel compute algorithms, and concurrent data processing pipelines. If you thrive on deterministic memory management, zero-cost abstractions, and writing safe, blazingly fast concurrent systems, this role is for you. Key Responsibilities: High-Performance Architecture: Design and implement zero-cost, high-throughput, low-latency engine components and data processing pipelines in Rust. Concurrent & Thread-Safe Systems: Build thread-safe, lock-free, or fine-grained locked data structures and state machines capable of scaling across multi-core architectures without race conditions. Priority & Real-Time Threading: Design custom thread pools, task schedulers, and execution queues with priority-based task scheduling and resource allocation controls. Algorithmic Optimization: Implement complex computational logic, including high-efficiency recursive algorithms, tail-call optimizations, and dynamic cache-friendly data structures. Resource & Memory Management: Leverage Rust’s ownership model, lifetime annotations, custom allocators, and non-blocking I/O to achieve predictable low-latency profiling (minimizing allocations and cash misses). System Profiling & Benchmarking: Conduct continuous benchmarking (criterion), flame graph analysis, memory profiling (Val grind/heap track), and CPU SIMD/vectorization optimizations. Key Skills: Core Rust & Functional Programming: Advanced Rust Mastery: Deep experience with Rust internals (stdsync, stdcell, custom Drop, unsafe Rust boundaries, and macro systems). Closures & Higher-Order Functions: Mastery of Rust’s functional traits (Fn, FnMut, FnOnce), capturing environments, move semantics within closures, and passing unboxed closures for zero