Annual base salary ranges:
· FPGA Engineer, Level I: $125,000–$160,000
· FPGA Engineer, Level II: $145,000–$195,000
· Sr. FPGA Engineer, Level III: $160,000-$215,000
Your level and base salary will be determined individually based on job-related knowledge, skills, education, and experience.
In addition to base salary, you may be eligible for company stock, stock options, or long-term cash awards; discretionary bonuses; and the opportunity to purchase additional stock at a discount through an Employee Stock Purchase Plan.
Responsibilities
Develop highly reliable FPGA firmware for Sovera hardware.
Work across engineering disciplines to bring new products from prototype through production and flight.
Own your firmware throughout its lifecycle, including verification testing, documentation, and support.
Apply rigorous development and verification practices to deliver reliable firmware for spaceflight.
Collaborate with avionics, software, and platform engineers to design, integrate, and validate FPGA implementations.
Requirements
Bachelor's degree in computer science, electrical engineering, mathematics, or another engineering discipline; or at least two years of professional software development experience in place of a degree.
Administer and maintain version control systems, oversee branching and merging strategies, and design, implement, and maintain CI/CD pipelines for software releases.
Locations (2)
Tampa, Florida, United States
Warrenton, Virginia, United States
Compensation
Pay Range: $125,000 - $165,000 per year
Responsibilities
Administer and maintain version control systems (e.g., Git, Bitbucket, GitHub)
Oversee branching and merging strategies to ensure code stability
Design, implement, and maintain continuous integration and continuous deployment (CI/CD) pipelines
Coordinate and execute software releases across multiple environments
Conduct regular audits of configuration items and baselines
The Principal Network Automation Engineer is responsible for planning, designing, developing, and implementing software-driven solutions to optimize wireline fiber (GPON/XGS-PON) and IP networks, as well as providing guidance and direction to the rest of the team. This role will manage how we can expedite, consistently support, and unify our networks from an automation perspective. The Principal Network Automation Engineer focuses on eliminating manual provisioning and boosting operational efficiency across multi-vendor telecom environments
Compensation
Base Salary: $99,000 to $165,000 annually DOE
Responsibilities
Lead and contribute to the development of custom code to integrate platform components, fill tooling gaps, and solve potentially unique situations.
Perform development, testing, implementation, and review of complex automation solutions related to provisioning, monitoring, and configuring a multi-vendor network and infrastructure environment.
Write, maintain, and scale scripts and software tools (using Python, Go) to interact directly with network elements like OLTs (Optical Line Terminals), ONTs, and core routers
Employ modern CI/CD pipelines using DevOps tooling to deliver software.
Partner with Tier 3 operations, NOC (Network Operations Center), and field teams to translate complex network requirements into scalable software solutions
Requirements
High school diploma or GED
Bachelor’s degree in engineering, computer science, business information systems or relevant degree; or equivalent combination of work and experience
Design, build, and optimize the data ecosystem, migrating and managing complex data pipelines from legacy Oracle environments to Snowflake using Python.
Locations (2)
Noida, Uttar Pradesh, India
Austin, Texas, United States
Responsibilities
Maintain and optimize existing Oracle databases while leading strategic data migration efforts to the cloud
Utilize Python to automate repetitive data tasks, build custom API integrations, and manage workflow orchestration
Conduct advanced SQL optimization and performance tuning within Snowflake and Oracle to ensure low-latency data availability
Collaborate with Data Science and Analytics teams to provide clean, structured, and performant datasets for business intelligence
Explore and implement AI-driven data processing, such as LLM-based data cleaning or predictive pipeline monitoring
Help customers successfully deploy and scale Wiliot solutions in real-world environments. This role combines solution engineering, technical deployment, and customer collaboration.
Responsibilities
Lead the technical deployment of Wiliot solutions with enterprise customers
Translate customer workflows into technical solution architectures
Design and implement end‑to‑end solutions using the Wiliot platform
Build integrations, scripts, or prototypes for customer environments
Troubleshoot deployment challenges and ensure reliable production implementations
The Head of Finance & Treasurer leads the company's financial management internally, serving as the CFO's operating counterpart and deputy, owning enterprise forecast, budget, cash, liquidity, and investment portfolio.
Compensation
The target base pay for this position is $233,500 - $321,000/year.
Responsibilities
Own the enterprise forecast, annual budget, long-range plan and burn targets
Run the company's financial review layer: weekly and monthly business reviews, the monthly Flash and results package, the quarterly forecast and the cost-review process
Lead scenario and sensitivity analysis on cash runway, capital requirements, production ramp, certification timing and commercial-launch economics
Produce CEO, ELT and Board financials
Serve as Joby's corporate Treasurer, accountable for a multi-billion-dollar portfolio of cash and investments
Requirements
Bachelor's degree in Engineering, Finance, Economics or another quantitative field
A talented Full Stack Software Engineer to help solve the complex, technical challenges of a changing insurance landscape, with direct ownership of many parts of the stack.
Locations (2)
United States
Canada
Compensation
Base Salary Range $100,000-150,000 USD
Responsibilities
Collaborate with product managers, designers, and other engineers to develop new features and enhance existing applications
Design and implement frontend and backend components using JavaScript (Node.js) and Python
Develop RESTful APIs and integrate with third-party services as needed
Write clean, maintainable, and efficient code following best practices and coding standards
Implement automated tests and ensure high code quality through code reviews and continuous integration
Lead the design, governance, and implementation of AI-driven HR solutions across Airbus North America, ensuring compliance, ethical standards, and operational excellence.
Locations (2)
Herndon, Virginia, United States
Washington, District of Columbia, United States
Compensation
Salary range based on the required profile: 120,000USD - 135000USD.
Responsibilities
Design and implement complex HR agent workflows for policy retrieval, onboarding triage, and automated compliance reporting
Drive automation initiatives across all HR functions in North America
Develop advanced prompt architectures and orchestrate tool-calling with key HR systems like Workday and ATS
Implement initiatives to audit AI models for bias and ensure compliance with regulatory standards
Establish and enforce stringent data privacy protocols for worker data
Requirements
Associate Manager, AI & Agentic Engineering - AIOps/LLMOps Engineer
Build and operate reusable AIOps and LLMOps capabilities for enterprise AI solutions, automating model lifecycle, deployment, observability, and security on Microsoft Azure and Foundry.
Compensation
California - $96,000 - $156,730
Cleveland - $96,000 - $136,000
Colorado - $96,000 - $147,000
District of Columbia - $110,200 - $156,730
Illinois - $96,000 - $147,000
Maine - $96,000 - $136,000
Maryland - $96,000- $156,730
Massachusetts - $110,200 - $156,730
Minnesota - $96,000 - $136,000
New York / New Jersey - $118,000 - $167,633
Virginia - $96,000 - $136,000
Washington - $96,000 - $156,730
Responsibilities
Build and operate reusable AIOps and LLMOps capabilities
Automate lifecycle of models, prompts, agents, datasets, and deployment configurations
Create production automation using Python, PowerShell, Bash, C#, TypeScript, APIs, and infrastructure as code
Implement CI/CD, testing, environment promotion, approvals, rollback, versioning, and traceability through Azure DevOps and/or GitHub Actions
Establish observability for AI quality, reliability, performance, cost, safety, and business outcomes using Azure Monitor, Application Insights, OpenTelemetry, and MLflow
Requirements
Nice to have: Microsoft certification in Azure AI
Nice to have: Microsoft certification in Azure DevOps
Nice to have: Microsoft certification in Azure administration
Nice to have: Experience in management consulting
Nice to have: Experience with AI evaluation, tracing, telemetry, content safety
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