Design and build software, automation, and platform capabilities that modernize how database services are delivered and operated across NetJets.
Responsibilities
Design, develop, test, deploy, and support production-quality software and automation for database platform services.
Build APIs, command-line tools, reusable libraries, infrastructure-as-code modules, and event-driven workflows that simplify database provisioning and lifecycle management.
Create self-service capabilities for database requests such as provisioning, access, backup and recovery, refreshes, schema deployment, configuration changes, and decommissioning.
Engineer CI/CD pipelines for database platform code and database changes, including automated testing, policy validation, security scanning, artifact management, approvals, and rollback controls.
Automate database administration activities such as installation, configuration, patching, upgrades, backup validation, recovery testing, monitoring, compliance evidence, capacity management, and routine maintenance.
Support commissioning, configuration, and final acceptance testing of robotic systems in a manufacturing environment.
Compensation
At Pickle Robot Company, we believe transparency builds trust. The salary range listed here is provided in accordance with Massachusetts law and reflects what we reasonably and in good faith expect to offer for this role. We often consider candidates at different levels of seniority, and final compensation will reflect the level at which a candidate is hired, along with factors like experience and location.
Responsibilities
Execute commissioning procedures on assembled robots per defined work instructions, including device configuration, calibration, and functional validation
Load production software and customer-specific configurations onto units per established procedures
Carry out Factory Acceptance Test (FAT) procedures and record results accurately
Flag test failures, calibration issues, or unexpected results with enough detail for senior engineers to act on
Keep test and commissioning records complete, accurate, and current
Requirements
Bachelor’s or Associate’s degree in Electrical Engineering, Mechanical Engineering, Robotics, Mechatronics, or a related field
Support the design, testing, and verification of next-generation medical device systems.
Locations (2)
Waltham, Massachusetts, United States
Cambridge, Massachusetts, United States
Compensation
Pay Rate: $45.00 - $47.74/hr on W2
Responsibilities
Support the development, validation, and execution of test methods for product and system verification activities.
Perform complex benchtop and system-level testing, including intricate physical setups involving catheter manipulation, fixture assembly, and precise alignment of electro-mechanical components.
Operate computer-controlled test platforms, configure test parameters, execute semi-automated test sequences, and extract/analyze data using command-line scripts in Linux-based environments.
Conduct product characterization and detailed analysis on new and incoming devices to verify quality, performance, and functionality.
We're looking for an experienced full-stack Documentation Platform Engineer to evolve our documentation site into a platform that delivers an exceptional experience for Tailscale's prospective and current customers.
Compensation
US Pay Range: $163,000—$204,000 USD
Responsibilities
Continuously improve and evolve our documentation site to create a helpful, delightful, and educational experience that helps homelabbers, developers, and enterprises (and their agents) get the most of out of Tailscale's products and features.
Maintain and expand our docs-as-code tooling and content publishing pipelines, ensuring a smooth experience for both internal and external contributors to publish error-free content quickly.
Work cross-functionally with other engineering and product teams to integrate documentation with the Tailscale platform.
Partner with designers, user research, and growth teams to implement designs and features as they move from experimentation to production.
Help shape and tune a modern search and discovery infrastructure to help visitors, and agents, discover answers quickly.
Requirements
Nice to have: open source experience
Nice to have: LLMs
Nice to have: multi-format content output (HTML, JSON, XML, raw Markdown, PDF, ePub)
The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.
Responsibilities
Update training and test model databases with new or amended synthetic textual and image data
Modify and refine machine learning data creation, annotation, and rating guidelines
Initiate model training processes using internal tools and command-line interfaces
Evaluate the performance of trained models to gauge their efficacy and readiness for deployment
Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees
