Top Tech Jobs & Startup Jobs

Design, develop, and maintain large-scale distributed networking security services. Build secure, reliable, and testable software, use telemetry and AI to improve capabilities and engineering productivity, perform system design and code reviews, improve test coverage, and troubleshoot live-site automation, reliability, and monitoring.

Manage outbound logistics across air, ocean, and land for North America, LATAM, and Canada. Ensure customs compliance, cost control, service performance, and SLA adherence. Coordinate cross-functional stakeholders and 3PLs, drive execution cadence, analyze performance metrics, support launches and replenishment, and improve processes using logistics systems (TMS/WMS/ERP).

Design, develop, and operationalize large-scale distributed networking security services. Drive modern engineering practices, system design, testing, telemetry-driven decisions, reliability/monitoring, and AI-enabled security capabilities. Collaborate with product and engineering teams to build secure, modular, diagnosable, and maintainable services and troubleshoot live-site issues.

Design, curate, and evaluate high-quality multimodal datasets for foundation models. Build scalable ingestion, preprocessing, filtering, annotation pipelines; run data ablations and analyses; create auditing, visualization, and versioning tools; collaborate with Safety, Ethics, and research teams to ensure data quality, privacy, and responsible AI alignment.

Drive product strategy and KPIs for backend networking of ultra-large AI supercomputers. Identify failure points, lead remediations and roadmap changes, and coordinate cross-functional teams including customers, datacenter operators, vendors, and product groups to maximize uptime and AI workload throughput.

Build and maintain generative AI and agentic systems: create data, evaluation, and training pipelines; develop models and agent frameworks; prototype end-to-end experiences; collaborate with researchers, engineers, and PMs to translate research into production-ready proofs of concept.

Lead design, training, and deployment of large-scale generative ML models for health and life sciences. Define ML pipeline architecture, optimize distributed training and evaluation, ensure security/compliance, and mentor engineers while collaborating with researchers and domain experts.

Design, build, and operate reliable, scalable services across the C+E stack. Automate operations with scripts and CI/CD, use telemetry to detect trends, perform root cause analysis, support dedicated cloud environments, and collaborate across teams to ensure security, compliance, and operational excellence.

Lead vision and execution for agentic AI products that reason, plan, and act across apps and the web. Define MVPs from model capabilities, collaborate with research/engineering/design, set up data and evaluation processes, balance infrastructure trade-offs, and drive adoption and continuous improvement for scalable generative AI experiences.

Operate and improve large-scale HPC GPU clusters for AI model training and inference. Build observability, automation, CI/CD, and incident response tooling; lead on-call rotations, ensure security/compliance, collaborate with ML engineers, and optimize capacity and costs for production ML workloads.