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Role Description: As a Proposal Manager, you will be a critical driver of Defense Unicorns’ growth. Collaborating closely with business development, account executives, and technical stakeholders, you will help expand…
Lead the SRE team in Amsterdam to manage production systems and infrastructure using Ansible, Terraform, and Kubernetes, ensuring reliability for an AI infrastructure company.
Build and deploy AI models that decode brain signals into control signals for medical devices, using transformers and time-series data to restore autonomy for people with disabilities.
Build and fine-tune small, low-latency language and context models for brain-computer interfaces that restore autonomy to people with disabilities.
Define Echo Neurotechnologies’ brand and visual identity, crafting cohesive designs for medical devices and software, including motion graphics and data visualizations.
Build and scale ML infrastructure for brain-computer interface research, including distributed training pipelines, data platforms, and cloud infrastructure to support neuroscientific modeling and neural decoding.
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.
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.
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