Role Description DigitalOcean is seeking a Senior Engineer 2 to play a key technical role in our AI Inference Optimization team. You will help ensure we can offer industry-leading performance for our inference services. - Performance Architecture: Lead the technical strategy for benchmarking and performance optimizations at the inference engine and GPU kernel layers. - Deep-Dive Optimization: Engineer solutions for complex performance issues, including attention layer optimizations, memory and precision management, and advanced parallelization across multi-node GPU clusters. - Technological Innovation: Proactively implement cutting-edge optimization techniques to keep DigitalOcean at the forefront of the Gen AI landscape. - Hardware & Ecosystem Mastery: Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton). - Precision Optimization: Develop and deploy state-of-the-art quantization techniques (FP8, INT8, and experimental FP4) to double throughput without losing accuracy. - Technical Mentorship: Lead by example through high-quality code and design reviews. - Strategic Collaboration: Partner with Product Management and TPMs to translate "theoretical hardware limits" into "shippable product features." - Community Leadership: Maintain a strong presence in the GPU infrastructure and model performance optimization communities. Qualifications - 5+ years of experience in high-performance computing or AI infrastructure. - Deep familiarity with the Gen AI (LLM, VLM, LMM) landscape. - Hands-on experience with attention-layer optimizations and parallelization strategies across distributed GPU environments. - Comprehensive understanding of NVIDIA and AMD GPU architectures and their respective software ecosystems (CUDA, ROCm, etc.). - Extensive experience integrating, building with, and contributing to open-source software projects. - Excellent system design skills, particularly related to low-level GPU programming. - Experience acting as a technical lead, driving design and delivery through cross-functional alignment. - Deep understanding of GPU architectures (SMs, Warp scheduling, Tensor Cores). - Expert-level Triton or CUDA experience. Requirements - Proven track record of solving compute utilization and memory bandwidth bottlenecks. - Experience with attention-layer optimizations and parallelization strategies. - Expertise in low-level GPU programming and optimization. Benefits - Competitive array of benefits including Employee Assistance Program and flexible time off policy. - Reimbursement for relevant conferences, training, and education. - Access to LinkedIn Learning's 10,000+ courses for continued growth and development. - Salary range based on market data, relevant years of experience, and skills. - Potential for bonus based on company and individual performance. - Equity compensation to eligible employees, including equity grants and Employee Stock Purchase Program. Company Description DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

• Design, build, and ship native and or cross-platform mobile applications (iOS and Android), collaborating with UX designers and product managers to deliver clean, highly intuitive user interfaces • Develop and maintain front-end components using React.js and build scalable back-end RESTful APIs and microservices (Node.js, Express, etc.) • Polish the app, tighten performance under real-world usage, and squash bugs to ensure a seamless App Store and Google Play launch • Work closely with data scientists, analysts, software engineers, and product managers to support business needs and build robust systems • Perform code reviews, contribute to team documentation, mentor fellow guild members, and help maintain a high standard of engineering excellence

Role Description DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Data Plane team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. - Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models. - System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards. - Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing. - Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs. - Distributed Serving at Scale: Build on Kubernetes-native distributed inference frameworks like llm-d (or alternatives such as NVIDIA Dynamo, Ray Serve) to deliver prefill/decode disaggregation, KV-cache-aware routing, tiered prefix caching, and wide expert parallelism for MoE models. - Flow Control & Load Balancing: Solve the distributed-systems problems unique to LLM serving — inference-aware load balancing on queue depth, cache locality, and predicted latency; flow control and fairness across tenants; autoscaling inference pools; and moving gigabytes of KV-cache between prefill and decode instances with negligible overhead. - Open Source Contributions: Contribute upstream to llm-d, vLLM, and the inference gateway ecosystem, and represent DigitalOcean in these communities. - Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement. - Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health. Qualifications - AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or TensorRT. - Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve. - Inference Engine Depth: Hands-on experience with vLLM or alternatives (SGLang, TensorRT-LLM, TGI, Modular MAX), including internals like continuous batching, paged attention, and prefix caching. - Distributed Inference Fluency: Understanding of why cluster-scale serving is hard: KV-cache locality is partitioned across workers, naive round-robin routing destroys cache hit rates and tail latency, and disaggregated prefill/decode requires fast cross-pod KV transfer (e.g., NIXL). - Upstream Track Record: Merged contributions to vLLM, llm-d, SGLang, or similar projects strongly preferred. - Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization). - Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC. - Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean. - Open Source Mindset: Experience integrating and building with open-source software. Requirements - Compensation Range: $139,200 - $174,000 - This is a remote role. - JR: 2026-7624 - #LI-Remote Benefits - We innovate with purpose. - We prioritize career development. - We care about your well-being. - We reward our employees.

Role Description - Design, develop, document, test, modify, and deploy clinical laboratory interfaces. - Build, maintain, and support HL7 and JSON integrations. - Collaborate with third-party vendors to define interface functionality and system specifications. - Troubleshoot and resolve issues during development, testing, deployment, and production support. - Provide ongoing technical support for clients using clinical laboratory integrations. - Assist with feature design, requirements analysis, documentation, prototyping, and testing. - Deliver interface training to healthcare facilities and clinical laboratories. - Audit integrations, document findings, and provide quality assurance feedback. - Respond to support requests from clinical laboratory partners and healthcare facilities. - Deliver a consistent, high-quality support experience through thorough analysis and strong attention to detail. Qualifications - 1–2 years of experience building, testing, and deploying SaaS interfaces. - 1+ year of experience with HL7 or an HL7 certification. - 1+ year of knowledge or experience in clinical laboratory operations. - Experience with SFTP clients. - Experience with Zendesk, ServiceNow, or similar ticketing systems. - Proficiency in Microsoft Office Suite. - High attention to detail and the ability to work on repetitive, accuracy-sensitive tasks. - Ability to work independently with minimal supervision. - Strong organizational and prioritization skills. - Strong written and verbal communication skills, including the ability to train end users. - Advanced English proficiency. Requirements - Nice to have: Automation scripting. Benefits - Great Place To Work certification. - A company with more than 15 years of experience. - Work with world-class clients and long-term projects. - English scholarships for an external institute. - English classes with company teachers. - State-of-the-art tools and resources. - Certifications for your professional growth. - Recreation and leisure activities. - Compliance with the regulations and labor rights of your region. Company Description AssureSoft is a multinational software development and information technology company providing strategic consulting, technology services, and outsourcing business processes. We work to innovate and create quality software with motivated, passionate, and qualified teams that develop in an environment of professional, stable growth and continuous learning. Inclusive Opportunities for Every Talent. At AssureSoft, we believe that true innovation is born from diversity—of ideas, experiences, and perspectives. That’s why our hiring practices are inclusive and reflect a firm commitment to equity and equal opportunity. Here, every person—regardless of origin, gender, orientation, or beliefs—finds a space to grow, contribute, and be valued not only for their talent, but also for who they are.