Location Details: 

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

GoDaddy, one of the world's largest online service providers, faces sophisticated security challenges at a massive scale—fraud, abuse, malware threats, DDoS attacks, data breaches, phishing campaigns, bot attacks, and hosting security risks. The Information Security Software Engineering (ISE) Group is responsible for developing and maintaining advanced software solutions that safeguard GoDaddy's ecosystem, leveraging AI and machine learning to stay ahead of evolving threats. We're looking for a Principal Software Engineer who shares our vision of empowering businesses to thrive online with the assurance of cutting-edge security.

What you'll get to do...

Join a team where you'll own critical security infrastructure from conception to production. You'll architect and build AI-enhanced microservices that defend against the full spectrum of security threats at global scale—from sophisticated malware, DDoS attacks, and emerging cyber threats. Working with AWS cloud technologies and modern development practices, you'll create intelligent detection and response systems that protect millions of customers. This role offers true end-to-end ownership—from system architecture through deployment and monitoring—while collaborating with some of the industry's brightest security and engineering minds. Our mission is clear: deliver security solutions that not only protect digital assets but also support a culture of innovation, aligned with GoDaddy's dedication to customer success. 

Your experience should include...

• 8+ years of working experience in large scale system architecting, design, development, testing, and release, including but not limited to, microservices in layers, database design, API design, performance tuning, telemetry design and analysis.
• 3+ years of professional experience with Cloud Computing Platforms, such as AWS.
• Proficiency in programming languages such as Python, GoLang, or Java.
• Familiarity with application performance monitoring tools such as ElasticAPM.
• Demonstrated experience of leading big initiatives spanning multiple teams and organizations and leveraging deep domain expertise to influence product roadmap.
• A strong understanding of security principles and best practices.
• Experience leading a project teams of engineers in a fast-paced, dynamic environment.

You might also have...

• A bachelor's degree in computer science, engineering, or related field.

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com. 

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

The Solutions Engineering Team
We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer, Auth0 Opportunity
Reporting to the Sr. Manager, Solutions Engineering, Strategic Auth0, the Solutions Engineer is a functional business consultant, with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Enterprise Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you’ll bring to the role:

• Identity and Access Management (IAM) Expertise:
  • 5+ years of pre-sales engineering experience in IAM.
  • Strong understanding of IAM concepts, including OAuth 2.0, OIDC, and SAML.
  • Experience with lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• Technical Proficiency:
  • Hands-on experience in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
  • Experience working with REST APIs, API Gateways, and SDKs.
  • Deployed applications on cloud platforms (AWS, Azure, GCP, Vercel, etc.).
  • Understanding of core security concerns in applications (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).
• Customer Engagement & Communication:
  • Passion for serving customers, demonstrated in a customer-facing role (ideally pre-sales, but consulting or support also valued).
  • Ability to quickly communicate complex technical ideas, including on-the-fly whiteboard explanations.
  • Elite communication skills, confident in dispensing knowledge and presenting to highly skilled and experienced audiences.
• Strategic & Organizational Skills:
  • Territory management skills, including pipeline building and collaboration with sales counterparts for execution excellence.
  • Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Education & Travel:
  • Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.
  • Typically 25% travel.

You might also have (not mandatory):

• Experience with Auth0, Auth0 FGA, or OpenFGA.
• Hands-on experience with Generative AI or LLM technology (LangChain, GenKit, LlamaIndex, etc.).
• Experience integrating with micro services, data lakes, or customer data platforms.
• Developed ReBAC or Fine-Grained Authorization models.

#LI-LSS1

#LI - Remote

P23532

About the Role

At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems. 

You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success. 

We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in. 

Why Join Us

• Opportunity to shape AI Operations from the ground up
• Work on cutting-edge systems directly impacting our Customers and Operations 
• Collaborate with talented engineers, data scientists, product teams, and operational teams 

What You'll Do

• Turn ambiguous business problems into clear system designs, experiments, and implementation plans
• Identify and implement opportunities to improve our operational reliability, efficiency, and cost
• Prototype and ship rapid experiments that test improvements to workflows
• Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
• Build and maintain AI-powered automation, internal tools to improve how we work
• Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
• Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
• Implement monitoring and alerting for model performance, latency, and drift detection
• Troubleshoot production issues and conduct root cause analysis

• Partner with data scientists and R&D to operationalize models
• Develop runbooks, documentation, and best practices for AI Operations

What We're Looking For

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.

Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency 

Additionally:

• Familiarity with LLM deployment, context engineering and comfortable writing SQL 
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
• 5+ years of experience in operations and data experience 

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Current stack includes:

• AI coding assistants: Claude Code, Cursor, or similar 
• Rapid prototyping tools: Lovable, Replit, Figma
• Workflow automation: Gumloop, Zapier, or similar platforms
• Experience with MCP integrations is a plus
• Experience with data platforms (Snowflake, Databricks) is a plus
• Background in agentic AI frameworks or building automation flows is a plus

Bonus Domain Expertise

You don't need deep expertise in all of these, but experience in one or more is a strong signal

• Pricing and valuation
• Sales,support, partnerships 
• Home operations 
• Homes support 

The UAS Chief Engineer provides technical leadership, strategic direction, and execution oversight for the design, development, integration, and sustainment of advanced additively manufacturing unmanned systems. This role is responsible for end-to-end system engineering across air, ground, maritime, and/or multi-domain unmanned platforms, ensuring mission effectiveness, survivability, cybersecurity resilience, and compliance with applicable defense standards and regulations. The Chief Engineer serves as the primary technical authority for their assigned platform or product area, guiding cross-functional engineering teams, aligning technical roadmaps with customer requirements, and ensuring delivery of high-performance, secure, and reliable systems within cost and schedule constraints. This position works closely with government stakeholders, program management, operations, and executive leadership.

Essential Functions

• Provide overall technical leadership for additive manufactured unmanned system development programs, from concept through deployment and sustainment.
• Serve as the technical authority for system architecture, design trade studies, integration strategies, and risk management.
• Research and drive advancements in designs centered around additive manufacturing of UAS across the portfolio
• Lead system engineering processes including requirements development, decomposition, verification, validation, and configuration management.
• Oversee multidisciplinary engineering teams (mechanical, electrical, software, controls, AI/ML, autonomy, communications, cybersecurity, and systems engineering).
• Develop and maintain technical roadmaps aligned with defense customer needs and emerging operational requirements.
• Ensure compliance with applicable DoD standards, MIL-STDs, airworthiness/safety certifications, cybersecurity frameworks (e.g., RMF), and export regulations (e.g., ITAR/EAR).
• Direct integration of autonomy, navigation, sensors, communications, propulsion, and payload systems into cohesive, mission-ready platforms.
• Lead major technical reviews (SRR, PDR, CDR, TRR, PRR), ensuring readiness and program maturity at each phase.
• Identify, assess, and mitigate technical risks related to reliability, survivability, resilience, and mission performance.
• Support proposal development, customer briefings, and technical strategy discussions with government and defense partners.
• Foster innovation in autonomy, AI-enabled decision-making, resilient communications, and human-machine teaming.
• Mentor senior engineering staff and establish best practices in additive manufacturing, systems engineering, and product development.
• Perform other duties as assigned.

Standard Essential Functions

• Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
• Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
• Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture.

Qualifications and Competencies

• Security Clearance-Ability to obtain/maintain a Top Secret/SCI DoD clearance, U.S. Citizenship required.
• Demonstrated expertise in complex systems engineering for unmanned or autonomous defense systems.
• Extensive knowledge in additive manufacturing of UAS systems; composites, polymers, metals.
• Strong working knowledge of DfX principles; Design for Manufacturability, Procurement, Testability, Modularity, Cost.
• Strong knowledge of platform integration across hardware, embedded systems, software, autonomy, and communications.
• Proven ability to lead large, multidisciplinary technical teams in a regulated defense environment.
• Deep understanding of systems architecture, model-based systems engineering (MBSE), and lifecycle management.
• Familiarity with defense acquisition processes and government contracting environments.
• Working knowledge of cybersecurity requirements for defense systems, including secure communications and resilient architectures.
• Exceptional analytical, problem-solving, and decision-making skills.
• Strong written and verbal communication skills, with experience presenting to senior defense stakeholders.
• Understand of supply chain as it relates to autonomous systems development, rapid production scaling and design for manufacturing.

Education / Certifications

• Bachelor’s degree in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Systems Engineering, Computer Engineering, or a related technical field required.
• Master’s degree in Engineering, Systems Engineering, Robotics, Computer Science, or related field preferred.

Experience

• 15+ years of progressive engineering experience in defense, aerospace, robotics, or autonomous systems development.
• 10+ years of experience with progressive technical experience in engineering roles, with a proven track record of technical design and development
• 7+ years in senior technical leadership roles (e.g., Lead Engineer, Chief Engineer, Technical Director, or equivalent).
• 7+ years in senior technical engineering roles centered around additive manufacturing principles, programs, and execution
• Demonstrated experience leading at least one full lifecycle unmanned or autonomous system development program.
• Experience interfacing directly with DoD customers, prime contractors, and/or government program offices.
• Background in integrating sensors, navigation systems, propulsion systems, C2 systems, autonomy software, or mission payloads into operational platforms.
• Experience with test and evaluation planning, field demonstrations, and operational deployment support.
• Experience with manufacturing technologies that enable rapid development, test and demonstration of capabilities.
• Experience with safety-critical systems and applicable certification standards.

Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is: Frequently required to sit, and to reach to use computers and other office equipment For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.

Job Title: Analytics Engineer
Department: Panther Insights
Reports To:  Director, Business Intelligence
FLSA: Exempt
Employment Type: Full-Time
Location: Florida Panthers Hockey Club

Position Overview

We are seeking an Analytics Engineer with 1–3 years of experience to join our Business Intelligence team. This role is designed for a technical problem-solver who enjoys architecting the data logic that powers a championship-winning commercial strategy. Operating 100% on-site at our Sunrise offices, you will collaborate directly with our team in a fast-paced environment to serve as the critical bridge between our technical data architecture and the mathematical frameworks that dictate our business operations. This position is perfect for someone with a strong foundation in SQL and Python, a passion for working with data at scale, and a desire to be at the heart of the action in the sports and entertainment industry.

Key Responsibilities

• Architect and define the core data models and semantic layers within Amazon Redshift to serve as the primary foundation for all organizational reporting and Tableau visualizations.
• Write and maintain high-performance Python and SQL to automate complex data streams, utilizing AWS services to ensure our infrastructure is efficient and scalable.
• Act as a technical consultant to our data analysts, translating business requirements into precise data structures that allow the team to influence departmental strategy.
• Build and implement automated testing and monitoring frameworks to guarantee 100% data integrity before insights reach the executive decision-making table.
• Assist in the containerization and deployment of data workflows using Docker and Prefect, transforming manual or legacy processes into scalable, production-grade solutions.
• Continuously optimize query performance and data warehouse logic to ensure that diverse commercial data streams are unified into fast, revenue-driving insights, while minimizing cost.
• Build and maintain automated deployment pipelines (CI/CD).

Qualifications

Required:

• Bachelor’s degree in Computer Science, Statistics, Data Engineering, Information Systems, or a related technical field.
• 1-3 years of experience in analytics engineering, data engineering, database management, or a similar data-intensive role.
• Advanced proficiency in SQL, with a focus on writing optimized, cost-efficient queries and managing complex logic within Redshift.
• Solid experience using Python for data processing, automation, and interacting with APIs.
• Hands-on experience designing and maintaining production-level ETL/ELT pipelines and data models.
• Familiarity with Tableau, specifically in managing data sources and ensuring a clean, performant semantic layer for end-users.
• Ability to work full-time, on-site at our Sunrise, FL offices. This role is based 100% in-person to support close collaboration with the broader BI team and cross-functional stakeholders.

Preferred:

• Experience with workflow orchestration using Prefect and containerization with Docker.
• Knowledge of cloud-based infrastructure within the AWS ecosystem (S3, Lambda, etc.).
• Experience working with large-scale datasets for analytics or machine learning initiatives.
• Experience building automated data quality checks and validation layers within an ETL/ELT lifecycle
• A passion for sports analytics or previous experience within the sports and entertainment industry.

Team & Environment

You will join a lean, fast-moving Business Intelligence team where creativity and speed are essential. We operate in a structured environment, but our tasks are often open-ended and require someone who learns quickly and is creative with technical solutions. We are looking for a self-starter who thrives in an agile setting and is eager to contribute to the continued success of the Florida Panthers.

Position Type/Expected Hours of Work:

This is a full-time salaried (exempt) position. This role is 100% in-person in our Sunrise Florida offices; remote or hybrid work is not available. Must be able to work flexible hours including nights, weekends, and holidays as needed to support game-day operations.

About the Role

As a Robotics Hardware Engineer at Applied Intuition, you will serve as the primary technical link between hardware design, GNC, and software teams to deliver integrated, flight-ready systems. You will lead the critical hardware-software bring-up process, driving initial validation of flight systems from the bench to the airfield while defining seamless communication interfaces across flight controllers and ground stations. In this role, you will architect repeatable verification workflows and high-fidelity simulation environments, including Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL), to enable rapid iteration and reduce development cycle times. By setting standards for hardware abstraction and building custom real-time monitoring tools, you will ensure the delivery of robust, scalable, and maintainable flight software for next-generation autonomous machines

At Applied Intuition, you will:

• Lead the hardware-software bring-up process, driving initial integration and validation of flight systems from the bench to the airfield.
• Deliver integrated, flight-ready systems by bridging the gap between autopilot firmware, onboard compute, and peripheral vehicle hardware.
• Define and control system interfaces across flight controllers, payloads, and ground stations to ensure seamless communication and data integrity.
• Make critical system-level tradeoffs between embedded software performance, autonomy requirements, and physical hardware constraints.
• Design and scale automated test frameworks, including high-fidelity Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) environments with realistic sensor and vehicle simulation.
• Architect repeatable verification workflows that enable rapid iteration and reduce the cycle time from code change to validated flight behavior.
• Build custom tooling for real-time monitoring and post-flight analysis to convert complex test data into actionable system improvements.
• Serve as the technical authority for integration and verification, acting as the primary link between hardware design, GNC, and software teams.
• Support flight test campaigns as a hands-on technical lead, troubleshooting integration issues and ensuring mission success.
• Set the standards for design patterns and hardware abstraction to ensure robust, scalable, and maintainable flight software.

We're looking for someone who has:

• Degree: Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related technical field.
• 5+ years of experience in robotics hardware integration, embedded systems, or aerospace engineering.
• Deep expertise in vehicle electronics integration, specifically bridging autopilot firmware (e.g., PX4, ArduPilot) with onboard compute (e.g., NVIDIA Jetson, Raspberry Pi) and peripheral sensors.
• Strong proficiency in C++ and Python, with experience writing hardware abstraction layers or drivers for real-time systems.
• Hands-on experience with communication protocols such as CAN, UART, I2C, SPI, and MAVLink.
• Proven track record of building and scaling simulation environments, specifically Hardware-in-the-Loop (HIL) testing for autonomous vehicles or drones.
• Demonstrated ability to lead system-level bring-up, moving complex robotics platforms from initial bench-top prototyping to successful field or flight operations.
• Excellent troubleshooting skills and a collaborative mindset, with the ability to act as the technical "glue" between GNC, software, and mechanical teams.

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible for a U.S. Secret security clearance

For more information about U.S. security clearances: click here.

Nice to have:

• • FAA Part 107 Remote Pilot Certificate.
  • Hands-on experience with R/C systems, drone assembly, or flight operations.

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $100,000 to $150,000 USD annually.

Job Title: Staff Software Engineer (AI) 
Locations: Boston, MA; Houston, TX; (ET preferred)
Reports to: VP, AI Engineering  

A quick snapshot… 
As a Staff Software Engineer, you’ll be a key technical leader responsible for shaping the design and development of scalable, reliable, and innovative AI/GenAI solutions. You’ll lead high-priority projects, set technical directions for teams, and ensure alignment with organizational goals. You’ll operate with a high degree of technical expertise, strategic thinking, effective collaboration across diverse teams, while mentoring and elevating others to meet a very high technical bar.   

Why it’s a big deal…  
You’ll be a strategic technical leader to define and drive the technical vision and roadmap for Conga’s AI/GenAI systems, aligning with company objectives and future growth. You’ll have the opportunity to provide architectural leadership for complex, large-scale AI systems, and act as a thought leader in AI technologies, influencing cross-functional technical decisions and long-term strategies. You’ll have ownership of high-impact projects, shaping the future of Conga’s products while mentoring engineers, fostering a culture of continuous learning and technical excellence.

Here’s what we’re looking for… 

Related experience. You have 10+ years of professional software development experience, including 5+ years in AI/ML or GenAI. You have a proven track record of designing and deploying scalable, production-grade AI solutions. You’ve led complex technical initiatives that required influencing cross-functional teams while mentoring teammates, navigating change, and creating space for collaboration and growth.  

Technical expertise. You have:  

• Deep expertise in Python and frameworks such as TensorFlow, PyTorch, FastAPI, LangChain, LangGraph, and KubeFlow.  

• Advanced knowledge of AI/ML algorithms, generative models, and LLMs. 

• Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices. 

• Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL). 

Analytical thinker and creative problem solver. You utilize your expertise to navigate ambiguity and deliver impactful solutions. You’re skilled in identifying creative solutions to unique customer requirements, ensuring our customer issues are resolved in a manner that meets or exceeds their expectations without increasing their costs.   

Strong communication and interpersonal skills. You’re skilled at reading and adapting to different communication styles. You communicate priorities, trade-offs, and goals clearly, that engages and inspires both technical and non-technical stakeholders. 

Education. You’ve completed your Bachelor’s and Master’s degree in Computer Science, Engineering, or a related technical field. Maybe you’ve even gone on to obtain your Ph.D.  

Here’s what will give you an edge… 

Additional expertise. You’ve had the opportunity to lead the development of generative AI solutions, leveraging advanced techniques such as multi-modal models, reinforcement learning, and responsible AI principles. You’ve gained advanced knowledge of GCP technologies such as VertexAI, BigQuery, GKE, and DataFlow. You also have familiarity with agile methodologies and working in a DevOps model. 

Thought Leadership. You’re passionate about the AI/ML space. You’re a thought leader for the AI/ML community, contributing ideas through publications, open-source projects, and/or speaking engagements. 

#LI-BR1

About the role

As a Robotic Software Engineer, you will design and integrate complex autonomy and vehicle intelligence systems spanning hardware and software domains. You will integrate hardware and software onto vehicle platforms and deploy autonomy algorithms in both SIL, HIL and live test environments.  Computer networking, code integration, and a passion for robotics integration is a must.   You will collaborate closely with cross-functional teams to deliver robust, scalable solutions for defense and commercial customers, providing seamless hardware-software integration, troubleshooting, and customer-facing demonstrations.

At Applied Intuition you will:

• Adapt and develop modular and agile autonomy capabilities across diverse defense problems
• Integrate and deploy autonomy solutions onto embedded Linux and other hardware platforms, including interfacing with sensors and collecting data
• Troubleshoot complex integration and software issues to ensure high reliability and performance
• Integrate autonomy software into hardware in collaboration with autonomy engineers that supports full integration with aircraft autopilots, datalinks, sensors, PNT/GPS/INS, ground control stations, etc.
• Support live flight test of autonomy software on group 1-5 unmanned aerial vehicles (UAVs)
• Collaborate with 3rd party UAS vehicle vendors on the integration of Applied autonomy software onto OEM UAS hardware
• Conduct system-level setup, testing, and validation, including software-in-the-loop and hardware-in-the-loop evaluations
• Collaborate with autonomy engineers to implement service-oriented-architecture software and inter-process messaging systems for autonomous UASsCollaborate with DoD warfighter domain experts and 3rd party UAS vehicle vendors to develop and integrate autonomy software onto OEM hardware

Who we’re looking for:

• BS or MS in Robotics, Computer Science or related engineering field
• 3+ years of hands-on experience working with robotic systems (hardware, software, and integration)
• Experience with software programming languages:​​ C++ preferred
• Experience integrating autonomy/robotics products with Pixhawk autopilots (ArduPilot and/or PX4)​
• Experience integrating with communication busses & protocols:​UART/RS232/RS422/RS485​, SPI/QSPI​, I2C​, Ethernet
• Experience developing in Docker, containerized deployment environments, and using Linux-based operating systems (e.g., RHEL, Ubuntu)
• Experience using git, Visual Studio Code, GitLab
• Familiarity  with real-time, edge computing, and safety-critical systems operating in software-in-the-loop (SIL), hardware-in-the-loop (HIL), test & operational environments
• Excellent communication skills and customer-oriented project delivery mindset
• Willingness to travel frequently for on-site integration and demonstrations (estimated 10–20%)
• Must be a U.S. Citizen
• Must be eligible to obtain and maintain a U.S. security clearance

Nice to have:

• Experience in modern C++ (2011, 2017, or 2020 standards), Bash, and CMake
• FAA Part 107 Remote Pilot Certificate 
• Experience with Agile development practices and CI/CD pipelines
• Prior work with COTS hardware integration such as Nvidia Jetson and Raspberry Pi
• Active U.S. SECRET clearance preferred

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 to $165,000 USD annually.

About the role

At Applied Intuition, you will:

• Implement and maintain security controls as directed by the Information System Security Manager (ISSM)
• Directly supporting engineers for deployments onto customer systems
• Serve as the primary liaison with Government agencies for security matters and authorization processes
• Coordinate with external auditors and assessors during security evaluations and audits
• Perform regular vulnerability scanning, security assessments, and compliance checks to ensure system security
• Monitor system logs, investigate potential security incidents, and implement remediation measures
• Conduct security impact analyses for system changes and assist in developing security documentation
• Provide direct security support to project teams and customers
• Facilitate routine security awareness training
• Perform user access reviews and manage access control implementation to maintain system integrity

We're looking for someone who has:

• A Bachelor’s degree in Information Security, Computer Science, or a related field
• A minimum of 5 years of hands-on security experience in Government contracting environments
• DoD 8140/8570 IAM level II (Security+ Certification, condition of employment)
• Proven experience implementing NIST 800-171 security controls
• Proven experience implementing NIST 800-53 security controls and preparing ATO packages
• Strong understanding of network security principles, system hardening techniques, and vulnerability management
• Experience with vulnerability scanning tools and security logging/monitoring
• Excellent communication and collaboration abilities
• Strong analytical, organizational, and problem-solving skills

Travel Requirements:

• Willing to travel for company business as company/customer requires. (~10%)

Security Requirements:

• Must be a U.S. Citizen
• Must have an active DoD security clearance (minimum Secret, prefer Top Secret)

For more information about U.S. security clearances: click here.

Nice to have:

• CISSP certification
• Experience with AWS GovCloud
• Experience with cloud security tools (e.g. Wiz)
• Familiarity with cloud security best practices and controls (FedRAMP)
• Knowledge of risk management frameworks and compliance standards
• Scripting skills

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $150,000 to $200,000 USD annually.

About the role:

IT Operations Engineers provide first line technical support to end users and ensure that everyone at Applied is able to use technology as productively as possible.  In addition to technical support, IT Operations handles user onboarding and offboarding. We are looking for a multifaceted  IT Operations Engineer who can be the IT domain expert across our corporate IT team. This position requires a mix of IT skills to improve the company’s technology architecture. 

At Applied Intuition, you will:

• Design and build out a scalable IT infrastructure for a rapidly growing organization
• Respond to information technology help desk requests and provide assistance via phone, e-mail, remote access, and onsite support, escalating more complex requests to senior staff members
• Provide technical assistance and support for issues related to computer systems, networks, software, and hardware

We're looking for someone who has:

• 3+ years in IT operations including system administration, server support, project implementation, and desktop support in a fast paced environment
• Experience with Google Workspace, or other Active Directory systems
• Experience supporting a broad range of computer systems (Linux, Windows, and Mac)
• Knowledge of networking protocols and equipment (VPN, DNS, next-gen firewalls, routers, switches, or access points)
• Experience in deploying, integrating, and administration of SaaS applications
• Ability to operate in high pressure situations, successfully handle multiple priorities and possess a high level of discipline while remaining flexible
• Experience in creating IT processes and procedures
•  CompTIA Security+  certification 

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible for a U.S. Secret security clearance

For more information about U.S. security clearances: click here.

Nice to have:

• Knowledge of data protection operations and laws (GDPR)
• Managed Fortinet network stack
• Knowledge of MDM best practices
• CCNA certification
• Experience with Powershell, bash, and shell scripting

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $85,000 - $110,000 USD annually. 

About the role

As a Robotic Software Engineer, you will design and integrate complex autonomy and vehicle intelligence systems spanning hardware and software domains. You will integrate hardware and software onto vehicle platforms and deploy autonomy algorithms in both SIL, HIL and live test environments.  Computer networking, code integration, and a passion for robotics integration is a must.   You will collaborate closely with cross-functional teams to deliver robust, scalable solutions for defense and commercial customers, providing seamless hardware-software integration, troubleshooting, and customer-facing demonstrations.

At Applied Intuition you will:

• Adapt and develop modular and agile autonomy capabilities across diverse defense problems
• Integrate and deploy autonomy solutions onto embedded Linux and other hardware platforms, including interfacing with sensors and collecting data
• Troubleshoot complex integration and software issues to ensure high reliability and performance
• Integrate autonomy software into hardware in collaboration with autonomy engineers that supports full integration with aircraft autopilots, datalinks, sensors, PNT/GPS/INS, ground control stations, etc.
• Support live flight test of autonomy software on group 1-5 unmanned aerial vehicles (UAVs)
• Collaborate with 3rd party UAS vehicle vendors on the integration of Applied autonomy software onto OEM UAS hardware
• Conduct system-level setup, testing, and validation, including software-in-the-loop and hardware-in-the-loop evaluations
• Collaborate with autonomy engineers to implement service-oriented-architecture software and inter-process messaging systems for autonomous UASsCollaborate with DoD warfighter domain experts and 3rd party UAS vehicle vendors to develop and integrate autonomy software onto OEM hardware

Who we’re looking for:

• BS or MS in Robotics, Computer Science or related engineering field
• 3+ years of hands-on experience working with robotic systems (hardware, software, and integration)
• Experience with software programming languages:​​ C++ preferred
• Experience integrating autonomy/robotics products with Pixhawk autopilots (ArduPilot and/or PX4)​
• Experience integrating with communication busses & protocols:​UART/RS232/RS422/RS485​, SPI/QSPI​, I2C​, Ethernet
• Experience developing in Docker, containerized deployment environments, and using Linux-based operating systems (e.g., RHEL, Ubuntu)
• Experience using git, Visual Studio Code, GitLab
• Familiarity  with real-time, edge computing, and safety-critical systems operating in software-in-the-loop (SIL), hardware-in-the-loop (HIL), test & operational environments
• Excellent communication skills and customer-oriented project delivery mindset
• Willingness to travel frequently for on-site integration and demonstrations (estimated 10–20%)
• Must be a U.S. Citizen
• Must be eligible to obtain and maintain a U.S. security clearance

Nice to have:

• Experience in modern C++ (2011, 2017, or 2020 standards), Bash, and CMake
• FAA Part 107 Remote Pilot Certificate 
• Experience with Agile development practices and CI/CD pipelines
• Prior work with COTS hardware integration such as Nvidia Jetson and Raspberry Pi
• Active U.S. SECRET clearance preferred

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 to $165,000 USD annually.

How You'll Make an Impact: 

As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond.

Our Distribution Team:

We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.

What You Bring to the Team:

• Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
• Build intuitive frontend experiences using React and Vue, ensuring seamless user interactions across the Cloudbeds ecosystem
• Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
• Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards
• Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
• Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
• Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
• Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
• Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base

What Sets You Up for Success:

• 5+ years of PHP web application software engineering experience
• 5+ years of experience with JS frameworks, Vue.js and React are preferred
• Solid experience with modern JavaScript/TypeScript
• Strong hands-on experience with Docker and containerized development workflows
• Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
• Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
• Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
• Proven track record of taking ownership of projects and delivering results independently
• Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team

Bonus Skills to Stand Out:

• Experience designing and building microservices and/or micro-frontends
• Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
• Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
• Experience working with event-driven architectures and messaging systems (e.g., Kafka)

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

About Fellow

At Fellow, we’re on a mission to help people brew ridiculously good coffee at home. But we’re more than just beautifully designed kettles and grinders—we’re a brand built on innovation, community, and culture. We believe great coffee isn’t just about the final cup; it’s about the experience, the ritual, and the people who make it all happen.

We’re looking for an Automation Engineer (CI/CD, Firmware, Mobile, Backend) to support hardware product development and testing. 

This role is based in our office in San Francisco, CA and is required to be in-office 4 days per week. 

Who You Are

We are seeking a highly skilled Automation Engineer to design, build, and maintain end-to-end CI/CD pipelines that automate testing, deployment, and release workflows across software, firmware, mobile applications, and AWS-based backend services. This role requires deep experience in test automation, hardware-integrated testing, and the ability to work with system logs and external measurement devices. You will also play a key role in enabling intelligent debugging by integrating test outputs with AI-based analysis tools.

What You’ll Do

CI/CD & Automation Frameworks

• Design and implement scalable CI/CD pipelines to automate build, test, deployment, and release processes for:
• Embedded firmware
• Mobile applications
• Cloud-based backend services (AWS)
• Maintain and optimize automation frameworks to support continuous integration and delivery across multiple platforms.
• Firmware Automation
• Implement automated workflows to:
• Enforce coding style and static analysis checks
• Execute unit tests
• Compile firmware codebases from GitHub
• Flash firmware onto physical devices
• Run automated functional and integration test cases
• Collect, normalize, and forward device logs and test results to AI agents for debugging and root-cause analysis

Mobile Application Automation

• Build automated pipelines to:
• Perform coding style and lint checks
• Run unit tests
• Deploy builds from GitHub to test environments
• Install applications on physical test phones
• Execute automated UI and functional test cases
• Aggregate logs and test artifacts and pass them to AI agents for debugging

Backend Automation (AWS)

• Develop automation to:
• Enforce coding standards and static analysis
• Run unit and integration tests
• Deploy services from GitHub to test environments
• Execute automated backend test suites
• Capture logs, metrics, and traces and forward them to AI agents for intelligent analysis

Hardware & Data Integration

• Design and maintain automated tests that integrate:
• Hardware device logs
• Data from external measurement devices such as sensors, scales, or other instrumentation
• Ensure reliable data capture, synchronization, and validation across hardware and software systems.

Qualifications

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field (or equivalent practical experience)
• 7+ years of experience in test automation, CI/CD, or automation engineering roles
• Proficiency in automation scripting (Python or similar)
• Hands-on experience with hardware-integrated automation testing
• Strong experience designing and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, CircleCI)
• Strong debugging and problem-solving skills in complex, multi-system environments
• Proven experience with hardware automation, including tests that integrate machine logs and data from external measurement devices such as sensors and scales
• Familiarity with Git-based workflows and version control best practices
• Ability to design robust, repeatable, and scalable test automation systems
• Expertise in log collection, processing, and analysis

Preferred Skills & Experience

• Demonstrated experience working across firmware, mobile, and backend systems
• Familiarity with embedded systems, RTOS, or low-level firmware development
• Experience with mobile automation frameworks (e.g., Appium, XCTest, Espresso)
• Experience with cloud-native testing, observability, and monitoring tools
• Knowledge of containerization and orchestration (Docker, Kubernetes)
• Experience working in IoT, consumer electronics, or hardware-software integrated products
• Experience integrating automation outputs with AI or ML-based debugging/analysis tools
• Experience with firmware build systems, flashing tools, and device communication
• Hands-on experience automating mobile application testing on real devices
• Strong understanding of AWS-based backend services and deployment workflows
• Experience with test frameworks for unit, integration, and system testing

Salary Range: $165,000- $185,000

Our highest goal at Fellow is creating a safe, inclusive, and rewarding environment where everyone can bring their whole selves to work and thrive. We are committed to building diverse teams and strongly encourage people from underrepresented groups, including but not limited to women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. 

Fellow is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity, gender expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any protected category prohibited by local, state or federal laws.

ENSCO, Inc. is seeking a Sr. Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics, to address difficult problem sets.  Work closely with other senior scientist to understand problem sets, physical data feature sets and parameters.  The successful candidate must have demonstrated understanding of signal processing, data fusion, feature extraction, and be able to apply it towards ML and DL solutions.  Assess algorithm performance of features by building datasets and designing and executing well-controlled experiments.
 
ENSCO's Mission Systems Group (MSG) provides innovative customized products and services vital to national safety and security.  A primary focus area is the development of advanced algorithm development and integration for multipurpose data sets.
 

Qualifications Required:
•         Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline.  Direct relevant military experience will also be considered.
•         Minimum of 5 years related industry experience in machine learning, data science, and analytics.
•         Proven track record of successful data science and algorithm implementation.
•         Provide mentorship to junior ML engineers.
•         A self-starter with excellent oral and written communication skills.
•         Experience navigating and programming within the Linux environment.
•         Experience working with structured and unstructured databases.
•         Advanced proficiency with data science languages (e.g. Python, Matlab,)
•         Demonstrated experience with Deep Learning frameworks (e.g. PyTorch, TensorFlow/Keras, scikit-learn, MXNet).
•         Experience working with large data sets and ability to extract relevant information from data sets.
•         An Active Secret clearance is required for this position, for which you must be a U.S. Citizen
 
 

Qualifications Desired:
•         Masters or PhD degree in Machine Learning, Data Science, or Mathematics, or equivalent.
•         Experience with ML/DL algorithms extracting signal from noise.
•         Past experience being able to develop solutions using disparate data sets through ML techniques.
•         DevOps experience involving CI/CD pipelines to build and deploy.
•         Experience working with container orchestration technologies (e.g. Docker/Kubernetes).
•         An Active TS/SCI clearance.
 

Work Location Type: Hybrid
Required Certifications: None
U.S. Citizenship Required: Yes
Security Clearance Required: Secret
Employment Type: Regular Full-time
Background Check Type:  7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes