Lead the technical direction for production-grade AI data services powering vector search, knowledge bases, hybrid retrieval, context/agent memory, and graph-based data infrastructure. Responsibilities include architecture for indexing, storage, sharding, replication, caching, query execution and reranking; building reliable, scalable managed services with observability and SLOs; cross-team collaboration and mentorship. Requires deep experience in distributed systems, search/database internals, embedding/indexing pipelines, cloud-native tooling (Kubernetes, IaC), and backend languages such as Go/Java/C++/Rust/Python.

Lead architecture and development of distributed database systems (Managed MySQL, Postgres, MongoDB, etc.), drive technical standards, mentor engineers, and collaborate cross-functionally to deliver scalable, highly available database services. Requires significant experience (12+ years) in distributed systems, database internals, cloud infrastructure, and automation (IaC, CI/CD, observability).

Lead and grow a distributed team of performance engineers focused on low-level performance optimization (GPU/CUDA and CPU), algorithm development, and performance-first prototypes for data analytics workloads across cloud and on-prem environments. Requires MS/PhD or equivalent, 7+ years experience (including 3+ years engineering leadership), C/C++ fluency, and deep CPU/GPU architecture and performance engineering expertise.

Work on GPU-accelerating high-performance database and ETL applications: analyze and optimize data-intensive workloads, collaborate with hardware/software teams to influence future architectures and programming models. Requires a Master's/PhD or equivalent, 5+ years' relevant experience, strong C/C++ and low-level parallel programming (CUDA, OpenMP, MPI, etc.), and expertise in CPU/GPU architecture and memory subsystems.

NVIDIA DGXC Data Services seeks a Senior Cloud Software Engineer to develop scalable cloud-native data and storage services (dataset discovery, ingestion, governance, checkpointing, observability, low-latency access) for exabyte-scale GPU workloads. Requires BS or equivalent and 5+ years software engineering experience; experience with Kubernetes, cloud providers (AWS/GCP/Azure) and languages such as Go, Python, Rust, C/C++, or Java. Salary ranges provided: 152,000–241,500 USD (Level 3) and 184,000–287,500 USD (Level 4).

Bask Health is hiring a Machine Learning Engineer to design, build, and ship AI-first product experiences for telehealth. The role emphasizes working with LLMs (Cursor, Claude), building ML pipelines and distributed data processing (Apache Spark, Databricks), cloud deployments (AWS/Azure/GCP, ECS/EKS/Lambda), and strong Python/TensorFlow (PyTorch a plus) skills. Candidates should have a bachelor's in a STEM field and 3+ years of professional ML or computer vision experience.

Join GitHub as a Staff Software Engineer focused on data engineering to design, prototype, implement, and support high-performance data systems and APIs. The role requires several years of software engineering experience (job lists alternatives including 3+ to 9+ years depending on qualifications) and proficiency with languages such as Go, Python, Ruby, Rust, JavaScript, C/C++, C#, or Java; experience with Azure services, Cosmos DB, and scalable data pipeline design is preferred.