Jobs at Astera

Lead design and implementation of low-latency, multi-modal neuroscience research systems: instrument control, data acquisition, high-throughput pipelines, experiment UIs, and cloud infrastructure. Define technical roadmap, mentor engineers, and ensure production reliability and performance for large-scale neural data workflows.

Manage end-to-end candidate experience and scheduling, communicate with candidates and interviewers, maintain ATS records (Ashby), track pipeline health, support targeted sourcing and residency recruiting cycles, and assist with operational tasks across People & Operations to ensure a high-quality, repeatable hiring process.

Design and build precision experimental hardware end-to-end, spanning mechanical design, fabrication, electronics, and optics. Lead technical direction, run and equip the prototyping facility, mentor and hire engineers, and collaborate closely with scientists to iterate toward reliable instruments.

Build and maintain The Stacks web platform: back-end services, front-end interfaces, data models, APIs, cloud infrastructure, CI/CD, testing, and open-source components. Collaborate across teams, iterate rapidly, support post-launch improvements, and ensure availability and observability.

Design and validate an electrostatic drive and field-effect position sensor for a nanoscale DNA-origami actuator; define device stack and direct cleanroom fabrication; perform electrical and force/displacement characterization (including AFM); ensure low-noise measurement toolchain and collaborate with molecular-design and controls teams for closed-loop operation.

Coordinate project efforts across a multidisciplinary team, manage communication, resolve risks, track budgets, and foster a collaborative environment.

Lead Astera's events and communications: design and run events end-to-end, build scalable playbooks and vendor relationships, manage website/blog/socials and external communications, steward voice and production calendar, hire and manage external contractors, and support general operations across a growing research institute.

Cover the Controller's leave by owning end-to-end finance: FP&A, accounting, treasury, compliance, audits, taxes, grants, and financial operations. Partner with leadership on budgeting and analysis, manage vendors/payments (via Ramp), oversee investments, and supervise one direct report. Role runs Sep 2026–Jun 2027 with conversion potential to permanent FP&A and finance operations leadership.

DiffUSE seeks individuals interested in interdisciplinary roles involving computational biology, machine learning, and open scientific tooling. Responsibilities include data processing, ML research, infrastructure engineering, and community building.

The Machine Learning Researcher will develop new architectures for data-efficient model induction, focusing on optimizing generalization performance and runtime inference in networks, while contributing to a performance-driven code base.

The Staff Software Engineer will architect high-performance infrastructure for AI models, design RL environments, optimize code, and resolve technical challenges to enhance research efficiency.

Lead the vision, strategy, and execution of The Stacks platform, ensuring alignment with Astera's mission while managing product development, user research, and performance metrics.

The Principal Software Engineer will define architecture for high-performance infrastructure, optimize RL environments, and turn prototypes into scalable systems, while resolving technical challenges.

The role involves developing bi-directional architectures for hierarchical perception in AGI, designing experiments, and collaborating across disciplines.

The Senior Software Engineer will architect systems for training models, optimize RL environments, write production-quality code, and resolve technical bottlenecks for research.

The Head of Bio AI will architect Radial's AI infrastructure, lead program development, build a technical team, and engage with scientific collaborators. They will prototype systems and promote a culture of technical rigor in the life science domain.

The Research Scientist will explore and analyze the internal structures of neural networks, develop theories of intelligence, and create robust models in AI research, particularly focusing on belief discovery and generalization.

Develop foundational principles of Artificial General Intelligence (AGI) and work on hierarchical reinforcement learning. Collaborate with neuroscientists and engineers to create scalable systems.

The Site Reliability Engineer will manage digital infrastructure, ensuring access to compute resources, automating processes, and maintaining resource visibility for researchers.

The role involves developing foundational principles of Artificial General Intelligence through research on brain-like world models, designing experiments, and collaborating across disciplines.