Camera Systems Engineer

Drive adoption of Ubuntu Pro in enterprise settings

Understand and address customer requirements

Lead team towards high-impact solutions, Work collaboratively with scientific teams, Stay updated

cutting-edge tools, Develop novel assays, Efficiently allocate team

Understand user experiences with agentic AI systems

Gather insights from developers and practitioners in the field

Implement public-key cryptography for client security.

Facilitate device addition and revocation for user accounts.

Implement public-key cryptography for secure client-server communication.

Enable clients to manage device access through per-device keys.

Analyze and quantify sustainability solutions

Assess projects for investment impact

Lead research, design, and development of secure solutions.

Apply innovative security primitives and attestation capabilities.

Develop validation and regression tools for image sensors and pipelines

Perform lab and real-world camera data collection and analysis

Test, validate, and debug RF control systems

Operate and maintain cryogenic and vacuum systems

Design and implement firmware for embedded devices

Manage project tasks and day-to-day activities

Develop real-time software for satellite networks.

Lead architecture and code reviews.

Design and deploy ML pipelines.

Optimize models for various tasks.

Lead end-to-end model evaluation processes.

Develop and maintain benchmarking pipelines.

Conduct comprehensive model evaluations.

Build and maintain benchmarking pipelines.

Oversee model evaluation across various metrics.

Build and maintain benchmarking pipelines.

Gather requirements from internal teams.

Translate requirements into AI solutions.

Develop complex electrical hardware.

Collaborate with teams for hardware architecture.

Oversee model evaluation processes.

Build and maintain benchmarking pipelines.

Design advanced antenna systems.

Fabricate and test antenna prototypes.

Lead automated workflows for genomic DNA extraction.

Design tools for liquid handler and LIMS interactions.

Drive technical resolution for escalated issues.

Conduct deep-dive root cause analysis across various systems.

Provide parental leave benefits.

Offer annual learning and development stipends.

Own end-to-end model evaluation.

Build and maintain benchmarking pipelines.

Conduct end-to-end model evaluations.

Build and maintain benchmarking pipelines.

Research and prototype AI/ML techniques for specific use cases.

Quantify business value related to AI implementations.

Model de novo protein generation.

Optimize protein designs with in-loop data.

Conduct end-to-end model evaluations.

Design and implement benchmarking pipelines.

Develop insurance liability models.

Communicate findings to stakeholders.

Own and deliver embedded software features.

Collaborate with cross-functional software teams.

Lead and mentor a global team of Applied AI Architects.

Define strategy for Claude deployments.

Conduct research on vision-language-action modeling.

Deploy AI solutions in real-world robotics.

Lead development and support for test plans.

Conduct tests and analyze data for quality assurance.

Develop core agent platform and orchestration.

Implement enterprise-grade controls for agent execution.

Research threat actors targeting AI labs.

Build automation pipelines for threat detection.

Build relationships with enterprise decision-makers.

Lead technical meetings on Esri technology.

Design and build Terran R mechanisms.

Collaborate with multiple engineering teams.

Identify new audio data sources.

Ingest audio data into the pipeline.

Benchmark HPC and AI applications.

Tune applications for optimal performance.

Design and build satellite hardware.

Set up and operate environmental test equipment.

Own technical strategy for enterprise projects.

Act as a trusted advisor for AI/LLM adoption.

Design RF antennas and feeds.

Fabricate and test prototypes.

Design secure platform controls.

Build scalable security systems.

Design and implement security controls for AI/ML infrastructure.

Develop policies and standards for AI security.

Lead and manage the flight software engineering team.

Set technical direction and architecture for flight software.

Define product vision for AI-powered devices.

Drive new product initiatives from ideation to launch.

Collaborate with teams to define cell architecture.

Conduct analysis and prototyping for subsystems.

Maintain and enhance forecasting models.

Develop new analytical tools.

Operationalize AI solutions for customers.

Create facility models using Phaidra's platform.

Lead architecture for aircraft power systems.

Manage end-to-end lifecycle from concept to mass production.