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Oversee medical-device software documentation, risk management, and regulatory compliance for a brain-computer interface startup, ensuring IEC 62304 and FDA alignment.
Design and execute test plans for a brain-computer interface medical device, automating integration tests across cloud, desktop, and mobile to meet IEC 62304 standards.
Leads firmware architecture and team for next-gen implantable medical devices, focusing on real-time control, low-power optimization, and regulatory compliance in a startup setting.
Senior ML Engineer at Echo Neurotechnologies will design and create ML models for time-series data to develop Brain-Computer Interface solutions for people with disabilities, using Python with TensorFlow or PyTorch frameworks.
Build infrastructure-as-software systems that provision, manage, and self-heal GPU inference clusters at Together AI, using Go/Python/Rust, workflow orchestration (Temporal/Cadence), event-driven architecture (Kafka/NATS), and Kubernetes-style reconciliation loops.
Designs and maintains the cloud infrastructure and CI/CD pipelines that power Vinci’s physics simulation platform, turning research into production-grade systems for semiconductor customers.
Senior Data Engineer on the Data Platform & Analytics team designing, building, and operating scalable data pipelines and platform capabilities across Snowflake and AWS, including ETL/ELT orchestration, data quality monitoring, and cost/performance optimization. Core stack is Snowflake, AWS, SQL, Python, and tools like dbt and Airflow.
Fully remote Software Engineer at Daymark Health, a value-based oncology startup, building its cancer care platform across the stack using Python and AWS managed services (EventBridge, Lambda, DynamoDB). The role emphasizes secure, HIPAA/SOC 2-compliant development, AI-assisted coding (Claude, Cursor), and close collaboration with product, data, and care-delivery teams.
Design and maintain high-performance data center networks for AI workloads, using Cumulus Linux, spine/leaf architectures, and automation tools like Python and Terraform.
Build production software, APIs, and automation for managing large-scale GPU and bare-metal infrastructure at Lightning AI, using Python, Linux, and infrastructure-as-code in a hybrid role across NYC/SF/Seattle/London.
Manage AI chatbot projects for Jio and its subsidiaries, conducting scrums, client calls, and cross-functional coordination to deliver conversational AI solutions. Requires 3-4 years of PM experience, proficiency with Jira and Excel, and strong stakeholder management skills.
Build and maintain scalable, resilient infrastructure for a data platform serving hardware engineering teams, using cloud and on-premise systems with modern DevOps tools.
Build and maintain scalable cloud and on-premise infrastructure for a data platform serving hardware engineering teams, using Kubernetes, AWS/Azure/GCP, and Go/Java.
Senior Site Reliability Engineer at an aerospace startup in San Jose designing, building, and operating cloud-native infrastructure for an all-electric aircraft, focusing on Kubernetes, observability, and automation.
The Cyber Threat Intel Analyst will join the Threat Research team to track, analyze, and report on advanced threats targeting cloud and AI environments. The role involves synthesizing data from internal and external sources to investigate and attribute malicious activity.
Builds AI-driven robotics systems for physical-world automation (food, mining, transport) by designing and deploying ML models (LLMs, GNNs, deep learning) for real-world control, prediction, and optimization in production environments.
Build and maintain financial models, analyze monthly performance, and support strategic decisions for a fast-growing residential roofing and exterior services company.
Full-stack product engineer building Stuut's next-generation credit products (trade credit, receivables financing, payment plans) — modeling invoices, payments, and disputes into trustworthy credit state and deterministic, auditable credit decisions. Core stack: Python, Postgres, Snowflake, AWS (DBOS a plus).
First Solutions Architect at Zelara, an agentic (AI) lifecycle marketing startup in Berlin. Owns the technical side of customer accounts — pre-sales discovery, onboarding onto existing CRM stacks (Braze, Iterable, HubSpot, etc.), experiment design, and proving measured value — working in a pair with a commercial lead.
Builds the distributed storage, query engine, and GPU dataloading behind Eventual's petabyte-scale multimodal data platform (Daft) for Physical AI/robotics teams — video/lidar data lakes on Parquet/Iceberg, vector/VLM-powered search, and line-rate CUDA data pipelines. Core stack is Rust or C++; on-site 4 days/week in San Francisco.
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