Role

We are looking for a Sr Staff Software Development Engineer to join our ZPA datapath team. This is a hybrid role based in San Jose (3 days in office), reporting to the Director, Engineering. As a core technical expert, you will drive the design, development, and optimization of critical network applications and protocols. You will leverage your deep expertise in C/C++ and Linux to build scalable, high-performance network solutions that secure and streamline enterprise data across cloud environments.

What you’ll do (Role Expectations)

• Develop and optimize network applications and protocols using C/C++
• Design efficient data structures for network data processing and handle system-level programming in Linux environments
• Analyze network performance to identify issues and implement optimization solutions
• Collaborate with teams to define requirements, design architectures, and integrate network solutions
• Conduct code reviews, testing, and debugging to ensure robust and reliable software

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You lead with integrity. You do the right thing, even when it’s hard. You hold yourself and others to a high standard of accountability and build trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• 8+ years of experience in a distributed and enterprise-scale environment
• Strong knowledge of C programming specifically for network-related data handling and processing
• Expertise in Linux environments, including system-level programming, scripting, and troubleshooting
• Experience with networking protocols and traffic management technologies (e.g. TCP/IP, HTTP/HTTPS, SSL/TLS, QUIC)
• Strong knowledge in one of the cloud platforms like AWS, Azure, or GCP

What Will Make You Stand Out (Preferred Qualifications)

• Experience in L3 protocols, routing, BGP
• Experience in Cloud-based Networking
• Ability to stay current with industry trends and propose enhancements to improve system reliability, scalability, and network efficiency

#LI-YC2 #LI-Hybrid

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

We are looking for a Product Operations Engineer to join our rapidly growing team in Costa Mesa, CA. The Product Operations Engineer will help operate, maintain, and update a classified networking capability that provides operational Space Domain Awareness data for the United States Space Force. Anduril employs networking infrastructure to support global operations of customer sites. You'll be collaborating with other Product Operations team members, Mission Operations Engineer, Software Engineer, and TPMs to directly support end-users of an operational system.

The Product Operations Team will be the first point of contact with end-users at various locations worldwide. You'll also be responsible for providing clear and concise documentation to assist with training remote non-network technical staff for routine tasks such as device configuration, basic troubleshooting, and workflow optimization. This role will work hand in hand with our Mission Software Engineering team to deploy new capabilities to an operational system during future integrations.

This role is directly tied to an ongoing, funded program within Anduril’s Space Business Line. The program requires building and fielding a resilient, software-defined, distributed mesh networking layer for critical Space Domain Awareness data. We work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU'LL DO

• Become a part of a growing team of Product Engineers supporting a new operational system provided to a DoD customer, helping collaboratively shape the future!
• Develop, design, and establish processes, workflow automations, and tooling capabilities to support end-users of a globally distributed system from a secure Anduril-owned facility
• Serve as a systems administration SME, especially with Linux systems and configurations
• Work with cross-functional teams to ensure operational readiness of newly deployed locations or features and provide persistent monitoring of the existing capability baseline
• Provide real time response, rapid resolution, and root causing complex issues across code and backing infrastructure within an air-gapped network
• Maximize operational capability efficiency through ongoing monitoring and troubleshooting with little supervision and the ability to escalate when appropriate
• Provide 24x7 on-call support as a part of a larger team supporting the Space Domain Awareness effort on behalf of the United States Space Force
• Build and maintain infrastructure as code (Terraform, Ansible) and implement comprehensive observability solutions (monitoring, logging, alerting, tracing) for Linux-based distributed systems
• Maximize operational capability efficiency through proactive automation, system optimization, ongoing monitoring and troubleshooting with little supervision and the ability to escalate when appropriate

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Experience with device configuration, basic troubleshooting, and incident triage
• Strong communication and documentation skills
• Strong initiative in managing your own work in isolated secure environments.
• Experience with Bash, Python, Ansible, Terraform, etc
• Comfort with communicating complex thoughts simply across various methods of communication and tools
• Enthusiasm towards transforming US and allied military capabilities with advanced technology in space environments
• Little to no travel required, but opportunities to travel to end-user locations will be provided
• Hands-on experience with observability tools and practices: implementing monitoring, logging, alerting, and tracing solutions (e.g., Prometheus, Grafana, ELK stack)
• Experience with Linux system administration, containerization (Docker/Kubernetes), and managing distributed systems
• Understanding of software development practices including version control (Git), code review, testing, and agile methodologies

PREFERRED QUALIFICATIONS

• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance
• Experience with software-defined networking and distributed mesh networking. Extensive technical knowledge of current network hardware, protocols, and Internet standards, including routers, switches (layer 2/3), firewalls, remote access, DNS, BGP, OSPF, VLAN, VRF, QoS, and VPN
• Experience with COMSEC and HAIPE Complaint In-line type-1 network encryptors
• Networking certifications like CCNA
• Familiarity with Space Domain Awareness data and systems
• Knowledge of Anduril’s Lattice OS and its capabilities
• Experience with agile development methodologies and DevOps practices
• Experience with database administration, performance tuning, and data pipeline optimization
• Experience with cloud-native technologies and distributed systems architecture patterns
• Experience building and maintaining containerized applications using Kubernetes and Docker in production environments
• Proficiency in additional programming languages (Go, Rust, Java) and experience contributing to open-source projects

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

We are looking for a Senior Product Operations Engineer to join our rapidly growing team in Costa Mesa, CA. The Senior Product Operations Engineer will help operate, maintain, and update a classified networking capability that provides operational Space Domain Awareness data for the United States Space Force. Anduril employs networking infrastructure to support global operations of customer sites. You'll be collaborating with other Product Operations team members, Mission Operations Engineer, Software Engineer, and TPMs to directly support end-users of an operational system.

The Product Operations Team will be the first point of contact with end-users at various locations worldwide. You'll also be responsible for providing clear and concise documentation to assist with training remote non-network technical staff for routine tasks such as device configuration, basic troubleshooting, and workflow optimization. This role will work hand in hand with our Mission Software Engineering team to deploy new capabilities to an operational system during future integrations.

This role is directly tied to an ongoing, funded program within Anduril’s Space Business Line. The program requires building and fielding a resilient, software-defined, distributed mesh networking layer for critical Space Domain Awareness data. We work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU'LL DO

• Become a part of a growing team of Product Engineers supporting a new operational system provided to a DoD customer, helping collaboratively shape the future!
• Develop, design, and establish processes, workflow automations, and tooling capabilities to support end-users of a globally distributed system from a secure Anduril-owned facility
• Serve as a systems administration SME, especially with Linux systems and configurations
• Work with cross-functional teams to ensure operational readiness of newly deployed locations or features and provide persistent monitoring of the existing capability baseline
• Provide real time response, rapid resolution, and root causing complex issues across code and backing infrastructure within an air-gapped network
• Maximize operational capability efficiency through ongoing monitoring and troubleshooting with little supervision and the ability to escalate when appropriate
• Provide 24x7 on-call support as a part of a larger team supporting the Space Domain Awareness effort on behalf of the United States Space Force
• Build and maintain infrastructure as code (Terraform, Ansible) and implement comprehensive observability solutions (monitoring, logging, alerting, tracing) for Linux-based distributed systems
• Maximize operational capability efficiency through proactive automation, system optimization, ongoing monitoring and troubleshooting with little supervision and the ability to escalate when appropriate

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Experience with device configuration, basic troubleshooting, and incident triage
• Strong communication and documentation skills
• Strong initiative in managing your own work in isolated secure environments.
• Experience with Bash, Python, Ansible, Terraform, etc
• Comfort with communicating complex thoughts simply across various methods of communication and tools
• Enthusiasm towards transforming US and allied military capabilities with advanced technology in space environments
• Little to no travel required, but opportunities to travel to end-user locations will be provided
• Hands-on experience with observability tools and practices: implementing monitoring, logging, alerting, and tracing solutions (e.g., Prometheus, Grafana, ELK stack)
• Experience with Linux system administration, containerization (Docker/Kubernetes), and managing distributed systems
• Understanding of software development practices including version control (Git), code review, testing, and agile methodologies

PREFERRED QUALIFICATIONS

• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance
• Experience with software-defined networking and distributed mesh networking. Extensive technical knowledge of current network hardware, protocols, and Internet standards, including routers, switches (layer 2/3), firewalls, remote access, DNS, BGP, OSPF, VLAN, VRF, QoS, and VPN
• Experience with COMSEC and HAIPE Complaint In-line type-1 network encryptors
• Networking certifications like CCNA
• Familiarity with Space Domain Awareness data and systems
• Knowledge of Anduril’s Lattice OS and its capabilities
• Experience with agile development methodologies and DevOps practices
• Experience with database administration, performance tuning, and data pipeline optimization
• Experience with cloud-native technologies and distributed systems architecture patterns
• Experience building and maintaining containerized applications using Kubernetes and Docker in production environments
• Proficiency in additional programming languages (Go, Rust, Java) and experience contributing to open-source projects

ABOUT THE TEAM

The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. We're the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.

ABOUT THE JOB

As a Staff Modeling and Simulation Engineer, you will own the understanding and design of the mission solution which includes designing mission trajectories, building models to help craft mission solutions, and developing simulations to solve key mission needs. You will carefully listen to stakeholder needs and then design rigorous math and physics analyses leading to clear and compelling value propositions. You will work closely with related teams, including Systems Engineering, GNC, Software, Mission Operations, Hardware Engineering and others. You will lead physics-level modeling, mission design, constellation design, simulation and analysis for a wide variety of defense missions.

This role is directly tied to ongoing, funded programs within Anduril’s Discovery Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Develop model-driven analysis (and often the models themselves)
• Develop a deep understanding of transformational value of Anduril platform, autonomy, simulation, and perception products
• Use our advanced internal M&S capabilities to give our analyses an asymmetric advantage over competitors
• Convey the value through life of AI-powered distributed systems over traditional industrial offerings
• Provide rigorous analytical products which will be used to guide hardware engineering and convince stakeholders of our value advantage

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Top Secret security clearance
• Strong domain experience in fields like missile defense, Space, radar, sensor fusion, etc. 
• Proven track record of independently owning and executing program deliverables with little to no management
• Outstanding communication skills to include visual presentation of complex data
• Proficiency with physics-math scripting (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Strong engineering background, preferably in Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, or other related engineering field

PREFERRED QUALIFICATIONS

• 10+ years in a relevant Science/Engineering field
• Space Mission MS&A experience - for example, working knowledge of constellation design, space trajectory design, and physics-level modeling across a wide variety of space missions
• Spacecraft & Payload MS&A experience— ability to perform physics-based trade-space analyses for spacecraft propulsion, power, thermal management, and payloads such as RADAR, SATCOM, and/or EOIR
• Rendezvous Proximity Operations (RPO) Trajectory Design & Space Payloads experience
• Strong background in orbital mechanics and space environment
• Exceptional proficiency with physics-math scripting of your choice (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Proficiency with STK and Astrogator
• Proficiency with AFSIM
• Experience with genetic algorithms, machine learning, AI, and reinforcement learning algorithms

ABOUT THE TEAM

The Air Defense team builds robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense Team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide.

ABOUT THE ROLE

We're looking for a Staff Software Engineer specializing in Robotics to join our growing team in Irvine, CA. As a Software Engineer on the Air Defense team, you will solve a wide variety of problems involving autonomy, systems integration, robotics, networking, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Software Engineers on Air Defense are driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.

WHAT YOU'LL DO

• Write and maintain core libraries and services that perform critical functions for collaborative teams of robots - for example, frame transformations, targeting and guidance, etc.
• Own feature development and rollout of large, complex features for our products. This includes systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behavior analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems.
• Implement scalable sub-systems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, testing fixtures, and vehicle interfaces
• Work closely with Anduril and 3rd party robotic platform hardware teams, as well as operational subject matter experts to align on requirements during product development and iterate towards a final design.

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics.
• 3+ years of C++ or Rust experience in a Linux development environment
• Proven understanding of data structures, algorithms, concurrency, and code optimization
• Experience troubleshooting and analyzing remotely deployed software systems
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance

PREFERRED QUALIFICATIONS

• MS, ideally in areas/fields such as Robotics, Computer Science, Software Engineering
• Experience programming for embedded and physical devices
• Experience in one or more of the following: motion planning, perception, localization, mapping, controls, and related system performance metrics.
• Understanding of systems software (kernel, device drivers, system calls) and optimizing for limited resources

ABOUT THE TEAM

The Air Defense team builds robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense Team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide.

ABOUT THE JOB

We're seeking a Staff Software Engineer to join our rapidly growing team in Irvine, CA. As a Staff Software Engineer, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Mission Software Engineers are driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.

WHAT YOU’LL DO 

• Own the software solutions that are deployed to customers
• Write code to improve products and scale the mission capability to more customers
• Collaborate across multiple teams to plan, build, and test complex functionality
• Create and analyze metrics that are leveraged for debugging and monitoring
• Triage issues, root cause failures, and coordinate next steps
• Partner with end-users to turn needs into features while balancing user experience with engineering constraints
• Travel up to 30% of time to build, test, and deploy capabilities in the real world

REQUIRED QUALIFICATIONS 

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 10+ years working with a variety of programming languages such as Python, C++, Rust, Go, JavaScript, etc.
• Strong Experience with React and Javascript/TypeScript
• Experience building software solutions involving significant amounts of data processing and analysis
• Ability to quickly understand and navigate complex systems and established code bases
• A desire to work on critical software that has a real-world impact
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems
• Developing and testing multi-agent autonomous systems and deploying in real-world environments
• Feature and algorithm development with an understanding of behavior trees
• Developing software/hardware for flight systems and safety critical functionality
• Distributed communication networks and message standards
• Knowledge of military systems and operational tactics

ABOUT THE TEAM

The Air Defense team builds robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense Team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide.

ABOUT THE JOB

We're seeking a Staff Software Engineer to join our rapidly growing team in Irvine, CA. As a Staff Software Engineer, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Mission Software Engineers are driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.

WHAT YOU’LL DO 

• Own the software solutions that are deployed to customers
• Write code to improve products and scale the mission capability to more customers
• Collaborate across multiple teams to plan, build, and test complex functionality
• Create and analyze metrics that are leveraged for debugging and monitoring
• Triage issues, root cause failures, and coordinate next steps
• Partner with end-users to turn needs into features while balancing user experience with engineering constraints
• Travel up to 30% of time to build, test, and deploy capabilities in the real world

REQUIRED QUALIFICATIONS 

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 10+ years working with a variety of programming languages such as C++, Rust, Go, JavaScript, etc.
• Experience building software solutions involving significant amounts of data processing and analysis
• Ability to quickly understand and navigate complex systems and established code bases
• A desire to work on critical software that has a real-world impact
• Active U.S. Secret clearance

PREFERRED QUALIFICATIONS 

• Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems
• Developing and testing multi-agent autonomous systems and deploying in real-world environments
• Feature and algorithm development with an understanding of behavior trees
• Developing software/hardware for flight systems and safety critical functionality
• Distributed communication networks and message standards
• Knowledge of military systems and operational tactics

ABOUT THE TEAM

The Air Defense team builds robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense Team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide.

ABOUT THE ROLE

We're looking for a Staff Software Engineer specializing in Robotics to join our growing team in Irvine, CA. As a Software Engineer on the Air Defense team, you will solve a wide variety of problems involving autonomy, systems integration, robotics, networking, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Software Engineers on Air Defense are driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.

WHAT YOU'LL DO

• Write and maintain core libraries and services that perform critical functions for collaborative teams of robots - for example, frame transformations, targeting and guidance, etc.
• Own major feature development and rollout of large, complex features for our products. This includes systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behavior analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems.
• Implement scalable sub-systems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, testing fixtures, and vehicle interfaces
• Work closely with Anduril and 3rd party robotic platform hardware teams, as well as operational subject matter experts to align on requirements during product development and iterate towards a final design.

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics.
• 10+ years of C++ or Rust experience in a Linux development environment
• Demonstrated experience leading projects or teams with the ability to inspire, mentor, and grow other engineers.
• Proven understanding of data structures, algorithms, concurrency, and code optimization
• Experience troubleshooting and analyzing remotely deployed software systems
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance

PREFERRED QUALIFICATIONS

• MS, ideally in areas/fields such as Robotics, Computer Science, Software Engineering
• Experience programming for embedded and physical devices
• Experience in one or more of the following: motion planning, perception, localization, mapping, controls, and related system performance metrics.
• Understanding of systems software (kernel, device drivers, system calls) and optimizing for limited resources
• Experience with sensor characterization and analysis

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

WHAT YOU’LL DO

• Own the thermal design, analysis, test, and associated component vendor management of a space hardware development program.
• Use first principles as a basis for every decision and discern the right level of analysis to apply. Execute hand calculations, spreadsheet, and MATLAB/Python first-order models to inform path forward before jumping into detailed design.
• Define good thermal architecture to withstand the space environments. Define and quantify hot, cold, and any other edge cases that drive the system.
• Communicate pros/cons of system architecture with respect to thermal considerations.
• Present thermal status at formal reviews internally and with customers. Provide clear understanding of timelines and technical status.
• Develop internal tools to improve the effectiveness and efficiency of analysis.
• Develop, prepare, and execute thermal tests to inform analysis and reduce risk on key hardware assemblies.
• Develop a database of materials, thermal properties, and vendors of thermal hardware for use in space.
• Support failure reviews and root-cause analysis with test data and thermal analysis.

REQUIRED QUALIFICATIONS

• BS, MS, or higher degree in engineering, applied physics, or hard science
• Demonstrated knowledge of heat transfer in academic and/or professional setting
• Proficiency in Thermal Desktop or equivalent thermal simulation tool
• Hands on experience prototyping hardware and conducting thermal tests. Experience with CAD, selecting instrumentation, post-processing data, correlating models
• CAD experience (Siemens NX preferred)
• Passion for defending the United States and her allies
• Eligible to obtain and maintain an active U.S. security clearance

PREFERRED QUALIFICATIONS

• 10+ years professional experience as a thermal analyst using Thermal Desktop
• Design or test experience on a space platform
• Experience developing code in higher-level languages like Python or MATLAB for applications like lumped thermal capacitance steady state and transient analysis
• Be able to obtain and hold a U.S. Top Secret security clearance.

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

This position involves working in a multi-disciplinary environment on the design, fabrication and flight testing of advanced payloads for Space. We are interested in candidates that are excited to work on new projects from conceptualization through production.

WHAT YOU’LL DO

• Work with EE Manager and Systems Engineer to develop requirements
• Create a Block Diagram of the proposed design
• Make a Schematic for the design in Altium
• Simulation of the circuit design
• Perform Layout or work with a Layout Engineer to design the PCB
• Generate Drawings and Documentation for the design
• Perform Design Validation Testing (DVT) on the finished PCBA
• Support testing and test development
• Debug support

REQUIRED QUALIFICATIONS

• 12+ years of relevant experience
• B.S. in Electrical or Computer Engineering or equivalent
• Team player with strong organization and communication skills
• Experience with schematic design
• Experience performing board bring-up
• Experience performing schematic reviews
• Ability to work independently under tight deadlines with minimal supervision, delivering quality results in fast-paced environments.
• Experience developing checklists and procedures for developed designs
• Experience developing technical drawings and documentation
• Experience with power circuit design and implementation
• Familiarity with lab equipment (DMM, O-Scope, Power Supply, etc)
• Must be authorized to work in the United States

PREFERRED QUALIFICATIONS

• Schematic and layout design in Altium
• Experience performing PDN analysis
• Experience with differential pair routing and debugging
• Proficient in soldering
• Knowledge of common communication busses (I2C, SPI, UART, RS-422/485, Eth, PCIe)
• 4+ years of experience in New Space

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

WHAT YOU’LL DO

• Own hardware design (CAD, hand calculations, prototypes, etc) from concept generation to launch. Intelligently pace design maturity with an holistic view of the program.
• Use first principles as a basis for every decision. Continuously look for opportunities to simplify designs.
• Communicate pros/cons of system architecture with respect to design and packaging considerations. Strong focus on good architecture to ensure designs are robust in nature.
• Lead subsystem design reviews, present structures status to other team members, provide clear understanding of timelines and technical status.
• Act as the Responsible Engineer for your subsystem: Run analysis, visit vendors, define and execute hardware test plans.
• Build prototypes, analyze failures, and transition successful prototype designs to flight hardware and low rate production.
• Travel to test sites and vendors as needed.
• Create excellent technical documentation – slide packages, test plans and reports, procedures, assembly instructions, part and assembly drawings, vendor specifications and statements of work, etc.

REQUIRED QUALIFICATIONS

• BS or higher degree in engineering or a hard science.
• Experience in an immersive hands-on technical project (collegiate project teams and/or professional settings).
• CAD skills (any platform) and ability to make high quality engineering drawings that meet common industry standards.
• Demonstrated hands-on fabrication and assembly skills. Experience working with hand tools, mill, lathe, etc.
• Strong understanding of engineering fundamentals: heat transfer, statics, solid mechanics, materials.
• Excellent attention to detail
• Highly motivated, self-starting, and able to perform duties autonomously without supervision.
• Very organized and willing to establish scope and requirements for ill-defined problems.
• Passion for defending the United States and her allies.
• Eligible to obtain and maintain an active U.S. security clearance

PREFERRED QUALIFICATIONS

• 10+ years of mechanical design experience in a professional setting with space hardware or industry of equivalent complexity.
• Experience in NX/Teamcenter.
• Experience in an immersive hands-on technical project in college or in free time.
• Ability to integrate electronic components (PCBAs, motors, sensors etc.) into mechanical designs.
• Experience working with (integrating in designs) optical or RF systems.
• Experience developing code in higher-level languages (e.g. Python, MATLAB, C++) for developing analytical models and data acquisition and automation.
• Structural or thermal testing experience – sensor selection, data acquisition, data post- processing (Python preferred)

MongoDB is building a world-class team in North America to create tooling that helps customers migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise their application and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model.  The tools developed by the Data Migration team are critical in this journey, helping customers with schema modeling, initial data loads, and continuous data synchronization.

We are looking for an experienced Staff Engineer with experience in the Java ecosystem, streaming systems, and data-intensive applications to join our team. We are building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. A successful candidate will be a key contributor to our backend services, collaborating closely with product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

We are looking to speak with candidates based in California, Oregon, or Washington for our hybrid or remote working models.

The ideal candidate for this role will have

• 8+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
• Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Empower the engineering team with unparalleled thought leadership on emerging technologies and best practices
• Proactively engage with product leaders and senior management to align technical solutions with overarching business strategies
• Mentor and guide junior and senior engineers on best practices in data structures, algorithms, and database design
• Participate in code reviews, design discussions, and contribute to the overall technical direction and roadmap of the team
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Position Expectations

• Architectural Leadership: Drive the architectural vision and technical strategy for the data migration engine and its surrounding ecosystem. Contribute core, foundational code that solves the hardest scalability problems and sets the standard for the rest of the team
• Strategic Partnership: Partner closely with Engineering Leadership, Product Management, and Design to shape the technical roadmap. Anticipate future business needs and translate them into scalable, long-term technical initiatives
• Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Actively mentor Senior and Mid-level engineers, cultivating a culture of technical excellence and continuous learning

Success Measures

Within the first three months, you will have

• Familiarized yourself with the MongoDB database and aggregation language
• Familiarized yourself with the problem space and the domain
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have

• Worked on and delivered a large-scale code analysis feature in the product
• Contributed to and helped deliver a few releases of the product
• Reviewed and contributed to scope and technical design documents

Within twelve months, you will have

• Delivered large-scale features across our entire tech stack
• Helped recruit, interview and mentor new members of the team
• Collaborated with other teams at MongoDB

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 4263333172

Purpose

The Senior Supplier Quality & Development Engineer is a hybrid role that combines the proactive, strategic focus of supplier development with the technical rigor and oversight of supplier quality engineering. This position is responsible for building, improving, and sustaining a high-performing supplier base while ensuring all supplied materials, components, and services meet or exceed stringent quality standards. The role is pivotal in driving supplier excellence, supporting new product introductions, and ensuring continuous improvement.

The Role

• Serve as a liaison between production and procurement operations, suppliers, and customers to ensure all purchased products meet specifications, quality, and regulatory requirements
• Develop, maintain, and continuously improve supplier quality manuals, procedures, production processes, engineering specifications, and inspection plans
• Interpret and communicate customer requirements to suppliers, ensuring accurate and thorough flow down through purchase orders
• Conduct supplier quality audits and source inspections to verify adherence to standards and contractual requirements
• Lead initiatives to identify root causes of supplier issues and implement effective corrective actions, driving improvements in key metrics such as On-Time Delivery (OTD), scrap, rework, and repair costs
• Oversee containment efforts for defects in procured parts, ensuring robust root cause corrective action (RCCA) processes are implemented to prevent recurrence
• Analyze and resolve issues related to supplier components, assemblies, and materials, collaborating with cross-functional engineering teams
• Participate in Material Review Board (MRB) activities to address supplier-originating nonconformances
• Evaluate supplier capabilities and performance through data analysis, site assessments, and tooling validation
• Track and analyze supplier key performance metrics such as OEE, cost, and capability to identify trends and drive improvements in quality, productivity, and cost efficiency
• Develop and lead training programs for quality control (QC) and buyers team members, fostering expertise in advanced problem solving, Lean concepts, and best practices
• Willingness and ability to travel up to 50% to support supplier development, audits, and issue resolution activities

Role Specialization – Additive Manufacturing & Components

• Lead supplier quality and development activities for equipment and printer component suppliers, including contract manufacturers, electrical systems, robotic systems, automated assembly equipment, tooling, thermal processing, HVAC systems, and other advanced manufacturing assets
• Support equipment sourcing and qualification through supplier capability assessments, factory acceptance tests (FAT), site acceptance tests (SAT), and commissioning activities
• Ensure equipment suppliers meet technical, quality, safety, and regulatory requirements throughout the equipment lifecycle, from design and build through installation and production ramp
• Drive corrective actions and continuous improvement initiatives with equipment suppliers related to reliability, uptime, maintainability, safety, and performance
• Partner with manufacturing, facilities, automation, and maintenance teams to resolve supplier-related equipment issues and optimize long-term equipment performance

Basic Qualifications

• Ability to lawfully access information and technology that is subject to US export controls
• Bachelor’s degree in Engineering, Quality Management, or a related field
• Minimum of 7–8 years of progressive experience in supplier quality engineering or a closely related discipline
• Demonstrated expertise in Advanced Product Quality Planning (APQP), Production Part Approval Process (PPAP), and Failure Mode and Effect Analysis (FMEA)
• Strong technical knowledge of automotive component design, manufacturing processes, safety and test requirements, and appearance approval procedures
• Proficient in Geometric Dimensioning and Tolerancing (GD&T) and datum structures
• Comprehensive understanding of IATF 16949:2016, ISO 14001, and relevant regulatory standards
• Proficiency in quality tools and methodologies such as Six Sigma and Lean Manufacturing
• Exceptional problem solving and root cause analysis skills for addressing quality issues, non-conformities, and defects
• Proven ability to conduct supplier quality management system audits and drive supplier improvement initiatives
• Proficient in Microsoft Office Suite, including Excel, Word, Outlook
• Familiarity with ERP/MRP systems (e.g., SAP, Oracle, Plex), supplier portals, and compliance tracking tools
• Demonstrated ethical conduct and integrity in all supplier interactions
• Willingness and ability to travel up to 50% to support supplier development, audits, and issue resolution activities 

Preferred Qualifications

• Proven experience managing supplier quality for capital equipment in advanced manufacturing settings, including automated production lines, robotics, CNC machining, and facility systems
• Familiarity with equipment qualification methodologies, including Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT), commissioning, and long-term supplier performance monitoring
• In-depth knowledge of aerospace quality standards, including AS9100 and NADCAP, with demonstrated familiarity in industry-specific regulations and certification requirements
• Master’s degree in Engineering or a closely related technical discipline, reflecting advanced technical expertise and leadership capabilities
• Deep understanding of Design for Manufacturing (DFM) principles, with a proven ability to deliver actionable feedback to design engineering teams to optimize manufacturability, quality, and cost
• Strong ability to develop and utilize cost models for multiple commodities, enabling effective achievement of target costs and informed sourcing decisions

Work Environment

• This position is based onsite in our Torrance, CA office.

Compensation

At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels E05-E06 as evaluated through our interview process. 

• Sr. Engineer/E05: $128,520 - $176,720
• Staff Engineer/E06: $148,430 - $204,090

ABOUT THE TEAM

Anduril's Application and Security Engineering team is looking for a Staff Security Engineer to focus on Identity and Access Management and build and maintain world class defensive controls to protect the systems we use to build our advanced defense technology products.

WHAT YOU'LL DO

• Build an identity engine that powers the whole company and supercharges our security program
• Create applications that enable and enforce our identity framework across the company
• Develop integrations that unify identities across IdPs, cloud providers, SaaS tools, and internal systems
• Automate identity lifecycle operations: provisioning, access reviews, offboarding
• Collaborate with other IAM engineers and partner teams to define architecture and ship iteratively

REQUIRED QUALIFICATIONS

• Strong programming ability in one or more general purpose languages (Go, Rust, etc)
• Experience with one or more infrastructure as code languages (e.g., Terraform, AWS CDK) in a production capacity
• Experience with identity protocols (SAML, OIDC, SCIM, OAuth) or identity providers (Okta, Azure AD, etc.)
• Proven ability to translate system design requirements into clean, maintainable implementations
• Experience leading or contributing to architecture and design reviews
• Experience working with cloud platforms and deploying applications through CI/CD pipelines
• Ability to work autonomously, take ownership of projects, and collaborate across teams
• Eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

• Have worked in environments with complex identity or access issues, troubleshooting across distributed systems
• Familiarity with RBAC, ABAC, or policy-as-code frameworks (e.g., OPA, Cedar)
• Experience building bespoke solutions in high-growth and high-complexity environments
• Experience with AWS, Azure, or GCP ecosystems and tooling

Role 

We are looking for a Staff Site Reliability Engineer to join our Cloud Infrastructure & Operations team in our San Jose, CA HQ Office. This is a hybrid role reporting to the Chief Architect, REIS. You are an SRE with proven experience in Linux/UNIX System Administration and hands-on expertise in building infrastructure and managing platforms like Kubernetes using automation tools and high security standards. In this role, you will troubleshoot complex Linux networking and security issues, apply a strong understanding of firewall technologies, and manage access across various systems, platforms, and applications.

What you’ll do (Role Expectations)

• Create and maintain highly scalable solutions based on KVM Linux, Kubernetes, and Public Cloud Providers
• Analyze and troubleshoot systems performance and complex issues across operating systems and applications
• Maintain platform security and observability through nftables and comprehensive monitoring
• Manage and deploy systems and software in diverse environments, including Kubernetes and Openstack
• Write and maintain custom tools using Python, Golang, and BASH

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, seeing a dynamic environment as the raw material to build something meaningful.
• You are a problem-solver who seeks out challenges because you are energized by finding solutions that deliver the biggest impact.
• You operate with urgency and maintain a relentless focus on execution, understanding that speed and quality are not mutually exclusive in a high-growth environment.
• You are driven by innovation and a deep curiosity for how things work, always looking for a better, more secure, and scalable way to accelerate transformation.
• You lead with integrity and hold yourself to a high standard of accountability, building trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• Strong understanding of web security, protocols, and SSH
• Technical security aptitude including PGP, SSH, PKI, and Multi-factor authentication
• Mastery of network fundamentals including DHCP, ARP, subnetting, routing, NAT, firewalls, and IPv4/IPv6
• Experience in container orchestration services including Docker and Kubernetes, alongside automation tools like Ansible
• 5+ years of experience in a Linux/UNIX System Administration or SysAdmin role

What Will Make You Stand Out (Preferred Qualifications)

• Strong Openstack and CEPH experience paired with advanced Kubernetes expertise
• Extensive professional history in dedicated Linux System Administration roles
• Direct experience with Secrets Management Systems such as Hashicorp Vault or similar technologies

#LI-Hybrid 

#LI-CM3

The Opportunity

This is a unique opportunity to join a new engineering team at the ground floor. As an SDE 1, you will learn from senior and staff level engineers while contributing to real production systems that power global trade. We are building Flexport’s client-facing rates platform and a new self-serve booking experience, moving the company from an assisted-sales model to a tech-run one.

You will help build the "front door" of our Client App: the interfaces and services that allow customers to see pricing and book shipments without manual intervention. This is an AI-first team where you will see firsthand how intelligent automation is applied to real-world logistics. If you are looking for a high-growth environment where you can see your code impact thousands of shipments across 112 countries, this is the team for you.

You Will

• Design, develop, test, deploy, and maintain systems that represent the real-world intricacies of global logistics and pricing logic.
• Work within an AI-integrated codebase, learning how to build and maintain services that support autonomous booking and intelligent quoting.
• Contribute to code reviews to maintain code quality, share knowledge, and learn from experienced mentors on the team.
• Collaborate with engineering, product, and design to translate complex business problems into elegant technical solutions.
• Build highly available, secure, and distributed services within a modern microservices architecture.
• Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
• Ensure high-quality standards by incorporating metrics and monitoring into every service you touch.

You Should Have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 1+ years of professional experience in software development with demonstrated coding skills: strong internship experience in a product-focused environment is highly valued.
• Proficiency in modern programming languages: specifically Java, Ruby, or TypeScript.
• Familiarity with technologies like databases, API development, and modern frontend frameworks like React.
• AI Curiosity: A strong interest in how AI and LLMs are transforming software development and a desire to learn how to build with these technologies.
• A self-starter attitude: You are curious, eager to learn, and when you see a problem, you look for a way to solve it.
• Product Curiosity: An interest in how users interact with software and a desire to understand the "why" behind the features you build.

It’s a Plus If You Have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience using AI coding assistants to accelerate your development workflow.
• Ability to convey technical ideas in common terms to business stakeholders and product managers.
• Excellent written and verbal communication skills.

#LI-Onsite

The opportunity 

The Autonomous Freight Systems team is a brand new, AI-first engineering team in San Francisco. This team will own Flexport’s client-facing rates platform and the self-serve freight booking experience—two of the highest-leverage surfaces in our Client App that dictate how clients see pricing and book freight without manual intervention.

As a Staff Engineer, you will be the technical anchor for our next-generation AI-powered rates platform. We aren't just building a UI; we are building AI agents that handle real logistics work: parsing complex rate sheets, managing pricing intelligence across ocean, air, and trucking, and making "Self-Serve" a reality for thousands of shippers. You will build the intelligence layer that allows clients to commit freight on technology alone, with no account executive and no operations touch.

This is a ground-floor opportunity to shape technical direction, set up a new codebase, and build the platform that moves Flexport from an assisted-sales model to a tech-run one for the long tail of our client base. You will partner with Pricing, Sales, Ops, and Design on hard domain problems and ship to the most-used client surfaces at the company.

You will

• Design and ship end-to-end AI agents that handle pricing intelligence and booking compliance without human oversight.
• Create the tooling and secure AI infrastructure required to expose internal logistics data to LLMs safely.
• Navigate the rapidly evolving landscape of agent patterns, RAG, and prompt engineering to solve problems that don’t have "Stack Overflow" answers yet.
• Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
• Mentor and uplevel engineers across the team, fostering a culture of technical excellence.
• Partner with the Engineering Manager to define the team’s technical roadmap and hiring bar.

You should have

• LLM Fluency: Experience with agent patterns, RAG, and prompt engineering. You know what works in production versus what only looks good in a demo.
• Agentic Orchestration: Experience with workflow orchestration (e.g., Temporal) and building reliable systems around non-deterministic AI.
• Entrepreneurial Drive: You don't wait for a spec; you find the highest-leverage automation problems and design the AI-driven solution.
• Product Instincts: You can identify what is worth building, not just execute on a spec. You have a proven track record of building data-heavy applications where high-quality user interaction is the priority.
• Architecture Leadership: Demonstrated experience leading technical initiatives across multiple teams or systems, specifically in building unified interfaces that aggregate data from various backend systems.
• Technical Rigor: A love of simple, well-tested code that is easy to extend and hard to break, combined with experience building large-scale distributed systems.
• Technical Communication: The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike.

It's a plus if you have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience in logistics, supply chain, or freight technology.
• Experience building internal tools or operator-facing applications.
• A bias for action: When you see a problem, you solve it.

#LI-onsite

ABOUT THE JOB

Anduril is seeking a Payloads Integration Engineer to join the Maneuver Dominance team at our Costa Mesa HQ. The Maneuver Dominance (MD) Team at Anduril develops aerial robotic systems designed to operate in large coordinated teams in concert with ground maneuver forces. We leverage existing Anduril drone platforms like Ghost, Altius, or Roadrunner, in addition to bringing 3rd party platforms into Anduril’s Lattice ecosystem. We develop perception and autonomy algorithms to solve some of the hardest problems facing our customers.

As a Payload Integration Engineer, you will lead/enable mechanical design, analysis and integration of Anduril payloads into host platforms. This is a unique opportunity to grow your expertise in one of the most challenging and differing engineering domains; large autonomous air vehicles. You will work closely with the program leadership and a wide spectrum of cross-departments as part of a team focused on solving hard problems and changing the industry forever.

WHAT YOU’LL DO:

• Lead or support efforts performing integration, verification and/or validation of weapon systems on Anduril’s Unmanned Aircraft Systems platforms
• Develop program plans, estimates, and schedules
• Develop system/architecture designs, perform system level analysis, and generate requirements
• Troubleshoot conflicting design/development requirements
• Develop and present technical material for reviews and meetings
• Support lab, ground, and flight test events
• Develop/maintain Interface Control Documents, Software Requirement Specifications, Performance Specifications, presentations and review test plans/procedures
• Coordinate and interface with customers, contractors, and engineering groups assigned to projects
• Support ongoing operation of the weapons systems
• Provide support for proposals/white papers for future efforts or capabilities
• Provide direction to design and to technical staff

REQUIRED QUALIFICATIONS

• Bachelor’s degree, Master’s degree or PhD in engineering, computer science or a related technical discipline from an accredited institution and progressive engineering experience as follows; nine or more years of experience with a bachelor’s degree, seven or more years of experience with a master’s degree or five or more years with a PhD. May substitute equivalent engineering experience in lieu of education.
• Software programming or embedded systems experience (familiarity with C++, MATLAB, Python, PERL scripting, etc.)
• Familiarity with Air-to-Air weapons, MIL-STD-1553, and logical Interface Control Documents
• Experience integrating weapons, payloads, or avionics onto aircraft
• Experience with weapon or tactical datalinks
• Must be customer focused with the ability to formulate and implement plans to resolve technical engineering problems
• Ability to travel to support program and test events (up to 25%)
• Must be eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

• Experience in NX/Teamcenter
• Experience in Solidworks
• Experience designing mechanical parts and test equipment (CAD).
• Understanding of manufacturing methods (machining, sheet metal, composites, 3D printing, injection molding, composite lamination, etc)
• Experience developing subsystem layouts, performing architectural trade studies, and evaluating vendor performance data

P-1549

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

The Mission

Databricks agents are only as good as the context they can retrieve. Whether an agent is answering a question about last quarter's revenue, debugging a failing job, generating SQL against a 10,000-table lakehouse, or summarizing a Wiki page, its quality is bounded by what it can find — and how well it understands what it finds.

We are hiring a Senior Staff Applied AI Engineer to own context retrieval for Databricks agents across SaaS providers. This is a zero-to-one role with two deeply connected charters:

1. Build the retrieval stack — query understanding, content understanding, ranking, retrieval, and evaluation — across the Enterprise SaaS data stored across multiple systems.
2. Build the search subagents that sit on top of that stack and reason about what context is needed, how to retrieve it, and whether the right thing actually came back — closing the loop between an agent's intent and the substrate that serves it.

If you have deep Information Retrieval wisdom, have shipped retrieval systems for RAG and agentic workloads, and want to build the substrate — and the agents on top of it — that make every Databricks agent measurably smarter, this role is for you.

What You Will Do

• Build the full retrieval stack from scratch. Own the end-to-end system: query understanding, content understanding and indexing, hybrid retrieval, ranking, and evaluation. Make the architectural calls that will define how Databricks agents access context for years to come.
• Retrieve across heterogeneous data — structured and unstructured. Index and rank across structured assets (tables, columns, SQL queries, dashboards, code, notebooks, jobs) and unstructured content (docs, wikis, tickets, chat, images, video, audio). Each modality has its own signals — design retrieval that exploits them rather than flattens them.
• Connect to the SaaS surface area customers actually use. Build connectors and retrieval adapters for the systems where enterprise knowledge lives. Treat each retrieval source with its own freshness, permissions, and ranking signals.
• Optimize for two consumers at once. Retrieval must serve both LLMs (grounded, token-efficient, hallucination-resistant context) and humans (intuitive, explainable discovery). These are different objectives and require different signals — own both.
• Crack query understanding for agents. Agent queries don't look like web queries. Build query rewriting, decomposition, intent classification, and entity resolution tuned for multi-turn agentic workflows.
• Crack content understanding at scale. Build the pipelines that extract structure, entities, embeddings, summaries, and metadata from every supported asset type — and keep them fresh as customer data evolves.
• Build search subagents that reason about retrieval. Design the agentic layer that decides what context is needed, which sources to query, how to decompose and route the search, and — critically — whether the retrieved content is actually sufficient to answer the question. These subagents will plan multi-hop searches, issue follow-up queries when results are weak, ground claims against retrieved evidence, and hand back high-confidence context (or signal failure) to upstream agents. This is where IR meets agentic reasoning.
• Build the evaluation flywheel for both retrieval and subagents. Stand up offline evals (nDCG, MRR, Recall@K, Precision@K), LLM-as-judge harnesses, human-in-the-loop labeling, and online experimentation. Extend evaluation beyond ranking metrics to measure subagent decision quality — did it ask the right follow-up?, did it correctly recognize when retrieval failed?, did it ground its answer in the right evidence?. Quality you can't measure is quality you can't ship.
• Set technical direction and grow the team. Set the multi-year roadmap, mentor senior engineers, partner with Research, Product, and Platform leaders, and raise the technical bar across the org.

What We're Looking For

• 10+ years of software engineering experience, with significant time spent building production retrieval, search, or RAG systems at scale.
• Deep Information Retrieval (IR) expertise: lexical retrieval (BM25, Lucene/Elasticsearch/OpenSearch), dense retrieval (embeddings, ANN indexes — FAISS, ScaNN, HNSW), hybrid retrieval, and learning-to-rank.
• Hands-on experience with modern LLM-era retrieval: RAG architectures, query rewriting, re-ranking with cross-encoders, long-context strategies, and grounding techniques that reduce hallucination.
• Experience designing agentic systems on top of retrieval — search planners, multi-hop / iterative retrieval, self-reflection and sufficiency checks, tool-using agents that decide what to fetch and verify what came back.
• Strong grasp of relevance evaluation: nDCG, MRR, Precision@K, Recall@K; offline/online experimentation; LLM-as-judge frameworks; building human labeling pipelines.
• Experience working across structured and unstructured data — you've indexed and ranked over tables, code, and documents in the same system, and have opinions about how to do it well.
• Track record of building 0→1: you've stood up a retrieval system from an empty repo, made the foundational architectural decisions, and grown it into something that customers depend on.
• Demonstrated ability to operate as a technical leader: setting direction across teams, mentoring senior engineers, and influencing roadmap with research, product, and platform partners.

Nice to Have

• Experience building retrieval over enterprise SaaS sources (permissions, freshness, multi-tenancy, ACL-aware indexing).
• Background in agentic systems, tool use, or multi-turn retrieval for LLM agents.
• Contributions to open-source IR/search projects, or publications at SIGIR, KDD, WWW, EMNLP, or similar venues.
• Experience training or fine-tuning embedding models, rerankers, or query understanding models.

Why This Role

• Foundational impact. Retrieval is the single biggest lever on agent quality. The stack you build will sit underneath every Databricks agent and every customer-built agent on our platform.
• Greenfield with scale. You get the rare combination of starting from a clean sheet and having immediate access to massive enterprise scale, real customer data, and a world-class research org.
• The right team. You'll work alongside engineers and researchers behind Lakehouse, Apache Spark™, Delta Lake, MLflow, MosaicML, and DBRX.

Location

This role is based in our Mountain View, CA or San Francisco, CA office. Hybrid in-office collaboration expected.

Who we are: 

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers for 100 miles at speeds of up to 150 mph while producing minimal noise. 

Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.

What you’ll do:

• Own the development, documentation, and improvement of the airframe loads development process
• Collaborate with teams that interface with loads (aerodynamics, airframe, engine, mass properties, mechanical systems, propeller, etc.)
• Responsible for providing static and fatigue loads that are directly consumable by all downstream users (airframe, engine, mechanical systems, propeller, etc.)
• Responsible for providing clear documentation of loads assumptions and methods to generate traceable and repeatable analyses.
• Support wind tunnel and flight test planning and execution in the areas of external airframe loads, propeller loads, aeroelasticity, and aeromechanics, including test plan development, instrumentation and data acquisition definition, test monitoring and execution, data analysis and interpretation, and test report writing.
• Participate in loads means and methods of compliance discussions with the FAA
• Support preparation of certification test plans

What you need:

• BS / MS in Aerospace Engineering or a related field
• 5+ years of experience developing processes for loads analysis and downselection for air vehicles 

• Working knowledge of structural analysis and test, including a fundamental understanding of strength, stability and fatigue failure mechanisms

• Proficiency in Python and/or Matlab scripting
• Familiarity with software development best practices and version control

• Strong technical, written, and verbal communication skills
• Ability to work in groups and individually
• Experience in a fast-paced design environment

Bonus Qualifications:

• Knowledge of aircraft, rotorcraft, and propeller certification standards (14 CFR Parts 23, 27, and 35)
• Experience with structural dynamics, rotor dynamics, and vibratory loads
• Experience developing FE models (NASTRAN or similar structural solvers) Experience with rotorcraft comprehensive simulation tools (such as RCAS or CAMRAD)
• Experience with fixed-wing and rotorcraft aerodynamics, structures, flight dynamics, and vehicle performance
• Experience in developing loads for eVTOL vehicles and/or tiltrotors, including loads for airframe components, tilting mechanisms, and propeller blades.
• CAD (NX preferred)
• Pilot’s license

At Archer, we aim to attract, retain, and motivate talent with the skills and leadership needed to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s strategy. For this position, we are targeting a base pay range of $172,800 - $225,600. Actual compensation offered will be determined by job-related knowledge, skills, and experience.           
        

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop and maintain highly interactive, large-scale and complex web-based visual analytics tools on AI/ML workloads.
• Design and implement creative and performant visualizations to assist in diagnosing issues or uncovering optimization opportunities in AI/ML inference and serving.
• Collaborate closely with hardware architects and compiler engineers to define, design, and implement effective visualization solutions enhancing their workflow.
• Develop high-performance visualization workflows by integrating independent graphics modules with micro-services to handle asset optimization, ensuring a non-blocking experience on the client.
• Continuously seek improvements to existing tools and develop new approaches to meet fast-evolving requirements.
• Stay up-to-date with the latest advancements in web development and visualization techniques.
• Contribute to the development of the documentation and user guides.
• Complete other responsibilities as assigned.

What You Bring

• Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
• An innate drive to clarify deep technical complexity, balancing creative visualization with engineering rigor to build analytical tools that make interdependent hardware and software models intuitive without sacrificing logical precision.
• Strong experience in full-stack visual analytics software development, with a focus on building scientific or infrastructure visualization tools. Experience in AI model visualization integrated with PyTorch is a plus.

• Strong proficiency in modern frontend technologies like React and backend technologies like Node.js or Python-based frameworks. Experience in graph-based UI is a plus.
• Proven experience in WebGL/WebGPU based frameworks such as three.js or deck.gl. GLSL experience is a plus. Experience in WebAssembly with C++ is a plus.
• Excellent problem-solving skills and ability to think critically and creatively.

• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-VL1

The Role

We are seeking a seasoned, hands-on Full-Stack Engineer with a proactive, "gets-it-done" attitude to be a foundational member of a new team. You will be instrumental in building the code that brings this new product to life.

This role is for a true builder who thrives on ambiguity, loves to tackle "0-to-1" challenges, and can own complex features from the database all the way to the UI. You will be a key technical voice, collaborating directly with product management and other senior engineers to define and deliver on our vision.

What You'll Do

• Build from Scratch: Write high-quality, maintainable code for both the backend (Python/Node/Go) and frontend (React), working in a balanced 50/50 split.
• Collaborate on Architecture: Work closely with Staff Engineers and Product Managers to define and refine the system architecture for a new product.
• Own the Lifecycle: Design, develop, test, and maintain new features from concept to production.
• Champion Quality: Write comprehensive unit, integration, and end-to-end tests to ensure code quality and system reliability.
• Collaborate Broadly: Work closely with Product Managers to refine requirements and translate business needs into technical solutions.
• Thrive in Ambiguity: Excel in a fast-paced, agile environment where priorities can shift quickly and proactive problem-solving is essential.

What You Bring (Must-Haves)

• Extensive Experience: 8+ years (14+ preferred) of professional software development experience building complex, large-scale applications.
• Proactive & Problem-Solving Mindset: A "gets-it-done" attitude is your most critical soft skill. You are a self-starter who identifies problems and builds solutions.
• Backend Expertise: 3+ years of strong, professional Python/Node.Js/Go experience in a production environment, building robust APIs and backend services.
• Frontend Expertise: 3+ years of strong, professional React experience, with a deep understanding of the modern React ecosystem, including: State Management, UI Libraries, Frameworks, and Testing.
• Commitment to Testing: A non-negotiable belief in the importance of comprehensive testing.
• Excellent Communication: The ability to articulate complex technical ideas to technical and non-technical audiences.

What We'd Love to See (Nice-to-Haves)

• Proven experience leading or co-leading system architecture decisions.
• Experience with both relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB).
• Hands-on experience with Docker and CI/CD pipelines (e.g., GitHub Actions, Jenkins).

What We Offer

.Monks has provided a compensation range that represents its good faith estimate of what Media.Monks may pay for the position at the time of posting .Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.

United States, Remote 
$90,000 - $95,000 Pending Experience and Seniority.

ABOUT THE TEAM:

ArsenalOS is the digital backbone of Anduril’s hardware enterprise. It connects the full lifecycle, from concept to build to field feedback, into one operating environment built for speed, traceability, autonomy, and continuous improvement. That environment includes not just the software used to design, plan, and execute work, but also the factory-facing infrastructure that connects operators, machines, test systems, and OT networks into the same adaptive Build Chain. It is not a support function, but rather a strategic investment by Anduril that the operating system of the hardware lifecycle is how we win. It will be one of the mechanisms by which Anduril out-builds, out-adapts, and out-scales the traditional defense industrial base.

ABOUT THE JOB:

We are looking for a Staff Software Engineer to join our QualityOS team within Forge MES (Manufacturing Execution System). As a Staff Engineer, you will set the technical direction and architectural standards. You'll architect and implement mission-critical distributed systems that scale Anduril's manufacturing operations while maintaining the technical bar for reliability, performance, and maintainability.

Your impact will span beyond the immediate team. You'll serve as a technical bridge between the QualityOS product team and our Platform/Foundations organization, ensuring we build on solid infrastructure while influencing platform capabilities to meet manufacturing needs. You'll represent the quality domain in broader MES architectural decisions, contributing to technical strategy that affects multiple product teams.

We're looking for someone who combines deep technical expertise with strong collaborative instincts—someone who can dive into complex distributed systems, establish patterns that others follow, and drive consensus across engineering teams. You'll balance hands-on technical execution on critical features with raising the technical standards of the team through architecture reviews, code quality, and operational excellence. Your decisions will have lasting impact on how Anduril scales manufacturing quality systems into a next-generation defense company.

WHAT YOU'LL DO

Technical Architecture & Execution:

• Define and drive technical architecture for QualityOS - make decisions on system design, scalability patterns, integration strategies, and platform vs. build tradeoffs that shape team execution
• Architect and implement complex distributed systems - build mission-critical services, APIs, and tooling that enable safe, fast delivery across manufacturing quality workflows
• Lead by example with engineering excellence - establish patterns through hands-on work: comprehensive testing, deployment safety (blue/green/canary), infrastructure as code, observability, and operational rigor

Cross-Team Influence & Collaboration:

• Bridge product and platform teams - collaborate with Platform/Foundations to shape shared infrastructure based on QualityOS needs while driving adoption of platform capabilities
• Partner across MES product teams - integrate QualityOS into cohesive manufacturing experiences, evolve data models across quality/production domains, and drive technical consensus on cross-cutting concerns
• Represent quality domain technically - work with architecture, security, operations, and infrastructure teams to ensure quality requirements influence broader technical decisions

Team & Technical Standards:

• Raise the technical bar for the team - through rigorous code review, architecture discussions, establishing shared ownership models, and improving practices that balance velocity with correctness
• Remove friction and unblock execution - identify systemic technical issues, eliminate single points of failure, and create leverage through automation and improved tooling

REQUIRED QUALIFICATIONS

• 12+ years of experience in a software engineering role building products in fast-paced environments
• Proven ability to influence technical direction across teams - drive architectural consensus, build alignment, and lead technical initiatives beyond a single team
• Experience working with large enterprise applications and platforms with high availability requirements
• Strong full-stack capabilities with expertise in modern web technologies - JavaScript/TypeScript, React, and web frameworks (Next.js, Remix, etc.)
• User-focused engineering mindset - ability to translate user needs into technical solutions while balancing user experience with engineering constraints
• Excellent communication skills, able to influence stakeholders, translate ambiguous requirements and build cross-team alignment.
• U.S. Person status is required as this position needs to access export controlled data

PREFERRED QUALIFICATIONS

• We encourage people from all backgrounds to apply but our tech stack uses AWS, Typescript, and React/Remix so familiarity with all of these tools will be particularly helpful
• Experience in hyper growth startup-like environments. Demonstrated successes in scaling and maturing software development processes, team culture and methods, and ability to balance short-term and long-term trade offs
• Manufacturing/quality domain knowledge - experience with quality management systems (QMS), manufacturing execution systems (MES), or incident management platforms
• Experience in defense, autonomy, robotics, or mission-critical systems (helpful but not required)
• Experience with AI/LLM integration - leveraging state-of-the-art models and agentic tooling in production software development
• Eligible to obtain and maintain a U.S. TS/SCI clearance

Role

We are looking for a Staff Software Development Engineer - DevSecOps to join our team in a hybrid capacity in San Jose, CA, reporting to the Director, Software Development Engineering. Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. You will support internal product teams in managing CI/CD pipelines, strengthening security practices, and maintaining shared engineering systems to enable organizations worldwide to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Build and manage CI/CD systems to deploy critical applications across hybrid cloud environments including AWS, GCP, and proprietary clouds

• Support internal product teams with CI/CD pipelines, automations, and tools like GitLab, GitHub, Jenkins, ArgoCD, and security scanning solutions

• Secure code, applications, and infrastructure using security scanning tools such as SonarQube, Snyk, Coverity, and CheckMarx

• Administer and optimize critical DevSecOps applications while monitoring build metrics with tools like Grafana, Prometheus, and CloudWatch

• Communicate progress to stakeholders through Jira, technical documentation, and clear status updates

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of professional experience including hands-on experience managing cloud environments such as AWS, GCP, or private clouds

• Proficiency in application development or automation using OOP languages like C/C++, Java, Python, or Go, plus exposure to container orchestration and automation tools

• Familiarity with application security testing methodologies and experience using tools like SonarQube, Snyk, Coverity, or CheckMarx

• Experience designing and managing GitOps-based pipelines using GitLab, GitHub, and CI/CD automation tools like Jenkins or GitHub Actions

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience

What Will Make You Stand Out (Preferred Qualifications)

• Experience with AI and ML tools in day to day DevSecOps activities

• Experience writing and developing yaml based CI/CD Pipelines and knowledge of build tools like makefiles, gradle, npm, or maven

• Experience with Networking, Load Balancers, Firewalls, and Web Security

#LI-Hybrid #LI-KM9

We are looking for a Staff Escalation Engineer to join our Shared Platform Services team. This is a hybrid role based out of either our San Jose, CA office (3 days a week), reporting to the Sr. Manager, Software Engineering QA. You will be instrumental in taking the Zscaler Client Connector Cloud service to the next level in terms of reliability, availability, and scalability. As part of the team that built the world’s largest cloud security platform, you will bring your vision and passion to enable organizations worldwide to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Own and resolve escalated cloud incidents end-to-end, including impact analysis, debugging, implementing solutions, and communicating with stakeholders

• Collaborate with development, security, and operations to design and implement code/configuration fixes for complex system issues

• Monitor system health, performance, and security via PagerDuty and enhance alerting to meet SLOs

• Build diagnostic tools, dashboards, and documentation to enable faster, more effective incident resolution across the team

• Lead production service ownership and supportability by deploying critical fixes, making key deployment decisions, and responding to high-pressure off-hours events

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience along with expert troubleshooting, debugging, and root-cause analysis for complex, high-priority incidents, with experience using CPU/memory profilers to diagnose resource exhaustion

• Strong hands-on skills in Python, Bash, and Java; cloud platforms (GCP, AWS, Azure); and IaC/configuration tools (Terraform, Ansible)

• Ability to write complex MySQL queries and generate business reports

• Experience with authentication protocols such as SAML and OAuth

• Solid networking fundamentals (TCP/IP, UDP, ICMP) and debugging with Postman and packet captures, along with proficiency in monitoring tools like Grafana

What Will Make You Stand Out (Preferred Qualifications)

• Experience developing applications with Java, REST APIs, MySQL, and jQuery

• Bachelor’s degree in Computer Science or Computer Engineering (or related field); MS in CS/CE preferred

#LI-JM1 #LI-Hybrid

We are looking for a Staff Engineer to join our Shared Platform Services team. This is a hybrid role based in San Jose, CA, reporting to the Sr. Manager, Software Engineering QA. As a Staff Engineer, you will be instrumental in leading functional, system, and automation testing for Zscaler features while expanding automation infrastructure to enhance quality and efficiency.

What you’ll do (Role Expectations)

• Collaborate across Development, Product Management, and Federal Cloud Operations teams to ensure timely delivery of high-quality products through design, testing, and release

• Lead functional, system, and automation testing efforts, expanding automation coverage and ensuring efficiency and robust quality assurance

• Manage Federal cloud processes, including deployment procedures, monitoring, and resolving escalations in collaboration with Federal operations and support teams

• Investigate and resolve complex production issues by identifying root causes, verifying fixes, and developing comprehensive test plans

• Contribute to team growth by hiring and training new talent, fostering a culture of inclusivity, and staying updated on evolving technologies

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• US Citizenship Required with 5+ years of Software Development or Quality Assurance experience, specifically within networking and security environments

• Strong expertise in cloud-hosted applications, database operations, API testing, microservices architecture, and automation scripting using Python

• Proficiency in L4-L7 Internet and Security networking protocols including TCP/IP, SSL/TLS, and HTTP/HTTPS

• Experience with deployment and monitoring tools such as Jenkins, GitLab, and Ansible

• Bachelor’s degree in Computer Science Engineering or a related field with a proven ability to troubleshoot complex cloud issues

What Will Make You Stand Out (Preferred Qualifications)

• Experience with AI in testing and automation, leading quality teams, and familiarity with FedRAMP qualification

• Deep knowledge of Linux system administration, traffic generation tools like Ixia or Spirent, and relevant cloud or networking certifications

• Understanding of authentication systems such as LDAP and SAML, encryption solutions, and debugging Linux systems

#LI-JM1 #LI-Hybrid

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Job Summary:

The mission of PsiQuantum's Principal Hardware Design Engineer role is to support the Electronics team by owning hardware designs integral to the underlying system of the quantum computer. This engineer will collaborate in cross-functional teams of thermal, mechanical, firmware, optical engineers. The designs will meet the requirements of the overall system architecture and physical framework of the quantum computer.

Responsibilities:

• Define, Design and deliver production ready high-speed embedded hardware systems.
• Design, create schematics, and oversee PCB layout of analog and digital circuitry consisting of but not limited to high-speed transceivers, 10+ Gbps electrical and optical data links, FPGA's, microcontrollers, clock distribution, and power distribution.
• Ensure signal integrity and EMI suppression is accounted for in all designs.
• Design and create test set-ups for testing of electro-optic modules.
• Characterize, optimize, and debug analog, digital, and electro-optic circuitry using equipment such as mixed signal & sampling oscilloscopes, vector network analyzers, signal generators, multimeters, DC power supplies.
• Develop software to drive measurements.
• Analyze data and extract key performance parameters.
• Maintain detailed documentation of hardware designs, test results, and design changes.
• Software tools:
  • Orcad Schematic Capture and Allegro PCB Layout
  • C++, Python, RTL (VHDL or Verilog)
  • Keysight PathWave ADS
  • Microsoft Office

Experience/Qualifications:

• 7 years of experience with a Master Degree.
• 9-12 years of experience with a B.S. Degree.
• Results oriented.
• Delivers on commitments.
• Attention to detail.
• Data-driven in decision-making.
• Strong problem-solving skills.
• Proven team player with an ability to work effectively across departments, sites, time zones in direct and matrix team environments.
• Excellent verbal and written communication skills with an ability to communicate effectively to a variety of audiences ranging from senior leadership and technical experts to entry-level staff.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

What we do

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. 

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: 

1. Environments for Software Engineering / coding agents 
2. UI-Environments for Computer-Use/Browser-Use agents 
3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications.

The Role

We are looking for a Principal Research Engineer – RL to own the end-to-end lifecycle of RL environment projects, spanning environment design, task generation, reward/verifier design, quality, and delivery to frontier AI labs and enterprise clients. 

This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and build RL environments specific to their needs. You will lead teams of engineers, subject matter experts (e.g. Finance expert, if you’re building an RL environment for investment banking workflows), researchers, and data ops teammates to achieve this.

What You’ll Do 

• End-to-End Ownership: Lead RL Environment projects end-to-end for one or more clients, ensuring the environment you and your team create matches the client’s spec, surpasses quality expectations, and is delivered on time. 
• Data Quality: Ensure the RL environments you produce, the data that goes into those environments, and the the data generated from them (e.g. agent trajectories and reward scores) meet frontier standards for realism, difficulty, diversity. 
• Team building and enablement: Work with your Ops counterparts to build the team of full-stack engineers, back-end engineers, domain experts, QAs, data creators, reviewers, and others you’ll need to deliver the environment on time. You’ll interview, hire, onboard, train, retain talent for your team 
• Process Leadership: Set the process that each of the above team members follows to generate environment code, database schemas, seed data, tasks, and verifiers; set up quality rubrics, automated validation scripts, and human-in-the-loop review processes for every aspect of the environment and data for the environment.
• Customer Interaction: Own customer relationships for your RL Environment project(s), and act as the primary point of contact for leading AI labs, providing regular updates, asking for feedback, and identifying opportunities to grow project scope and revenue. 
• Sales & Solutioning: participate in client solutioning conversations alongside our sales teammates; understand the needs of researchers at AI labs, translate those needs into environment goals 
• Evals & Post-training: Demonstrate proof of value for your environments by running inhouse RL fine tuning experiments to measure model performance lifts on agent trajectories; or by producing eval reports of frontier models on your environment and tasks

Who We’re Looking For

• RL & Post-training experience: familiarity with RL fine tuning, verifier/reward design, and/or environment design 
• Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.
• Systems thinking + Database/API design: ability to ‘simulate’ the data schema and API interface of a consumer or business application 
• Hands-on technical capability: willing to write code along with the team you’re managing; Python and SQL experience preferred 
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects. 
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams. 
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing 

•  Work directly with the world’s leading AI labs and enterprises at the cutting edge of RL environment design and post-training. 
• Real impact: your environments will be used to evaluate and train frontier models on GDP-moving tasks across real-world domains 
• Talent-dense team, where you'll find high autonomy, rapid iteration, and rapid learning curve

Compensation: $250,000 to $350,000 OTE + Equity

The Role

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. 

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: 

1. Environments for Software Engineering / coding agents 
2. UI-Environments for Computer-Use/Browser-Use agents 
3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications

The Staff Research Engineer – Code will own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs in the domain of coding agents and software engineering. This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and interface directly with researchers / engineers at those labs to understand their needs and build data offerings to address those needs. To achieve this, you will build and manage teams of software engineers, researchers, QAs, and contractors/data-annotators from Turing’s talent pool of 4M+ developers.  

You’ll be responsible for delivering projects at frontier quality and scale—owning data quality, throughput, and timely delivery. You’ll define and manage data pipelines, validation workflows, and review processes to ensure datasets meet the highest standards for realism, correctness, and diversity. You’ll also develop automations, synthetic data generation systems, and internal tools to scale production efficiently. 

In short, you’ll run your project like a startup within Turing, owning both the technical architecture and the operational execution required to produce best-in-class datasets/environments/evals to make the world’s best coding agents and models even better at real-world coding tasks across the software development lifecycle.

What you’ll do

1. End-to-End Ownership: Data Quality, Process Design, and Team Building

• Lead the creation of datasets, rl environments, and evals focused on Coding Agents / Software Engineering for one or more AI lab customers.
• Ensure that everything you ship to clients meets frontier standards for realism, correctness, diversity, and difficulty.
• Set up quality rubrics, automated validation scripts, and human review processes for every stage of data generation.
• Build and lead cross-functional teams of software engineers, researchers, QAs, and data creators drawn from Turing’s 4M+ developer network.
• Interview, onboard, train, and mentor team members to ensure consistent output quality and technical excellence.

2. Collaborate with Researchers at Frontier Labs

• Act as the primary technical point of contact for your customer projects, interfacing directly with researchers and engineers at frontier AI labs to understand their coding agent roadmap and model data needs, to gather feedback, and to co-define success criteria for your projects.
• Provide regular progress updates, surface insights from model evaluations, and incorporate client feedback to improve future iterations.

3. Drive Research, Sales Enablement, and Industry Thought Leadership

• Fine-tune models in-house on Turing-generated datasets or Turing-rl-environment generated trajectories to determine model improvement as a proof of data quality
• Proactively build benchmarks and run evals on frontier models and coding agents to identify strengths and weaknesses on SWE tasks, and leverage these insights to inform product roadmap
• Equip customer-facing teams with the Evaluation reports, sample datasets, and trainings to enable them to communicate your data offerings to customers most effectively
• Publish research papers and technical posts on Turing’s data products, innovations in our synthetic data generation / automation pipelines, evaluations of frontier agents and models, and Turing’s model fine-tuning results on our datasets.

4. Build Tools and Infrastructure

• Oversee development of internal tools that accelerate data generation and verification (e.g., automated data scraping pipelines, unit test generators, repo sandboxing).
• Design dashboards and APIs for customers to run model evals, view performance reports, and integrate Turing data directly into their post-training pipelines.

What we’re looking for

• Post-training experience on SWE tasks or experience building coding agents: We expect that you have a deep understanding of data ingredients and design principles that lead to measurable coding model improvements, either from fine-tuning models to improve SWE capabilities or building your own coding agents to improve upon SWE capabilities of the base model.
• Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.Hands-on technical capability: Fluency in Python and proficiency in one or more major languages (C++, Java, Go, Rust, or JS).
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects.
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams.
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing

• Work directly with the world’s leading AI labs and enterprises at the cutting edge of post-training and RL environment design.
• Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence. Coding is the core reasoning substrate of intelligence—advancing models’ ability to understand, design, and write code is effectively advancing their capacity for logic, planning, and abstract thought.
• Real Impact (GDP): automating software engineering unlocks one of the largest productivity frontiers in history. The software engineering market represents trillions in global GDP, and every percentage gain in automation translates to profound efficiency and innovation benefits across all industries.
• Talent-dense team, where you'll find high autonomy, rapid iteration, and an exceptional learning curve.

Compensation: $250,000 to $350,000 OTE + Equity

About the role:

As a key member of the product team at Aptos, you will play a pivotal role in building industry-leading Web applications and tools that empower developers in the Web3 ecosystem. You’ll work on a wide range of projects designed to enhance consumer-facing experiences, including decentralized applications for trading and novel experiences, wallets, SDKs, APIs, standards, and protocols.

We are a lean, high-impact team that values initiative and independence. Engineers in this role will drive large, complex projects, shaping the future of Web3 products and applications.

What You’ll Be Doing:

• Leading initiatives to design, build, and optimize Web3 products and applications for Aptos
• Developing new features and integrations to enhance existing experiences
• Maintaining and improving current platforms and web interfaces
• Writing clean, performant, and well-tested code
• Collaborating closely with designers, infrastructure engineers, and other product engineers

We’re looking for:

• 5+ years of experience building and shipping user-facing products
• Deep expertise in JavaScript, TypeScript, and React
• Strong problem-solving skills and the ability to work autonomously in a fast-paced environment
• Experience with UX/UI design and systems (a plus)
• Web3 experience or familiarity (a plus)
• Background in payments, defi, or tradfi (a plus)
• 2+ years of experience leading technical teams

The base salary range for this full-time position is $220-$250k. The range displayed on each job posting reflects the minimum and typical maximum target for new hire salaries for the position of a candidate based in the Bay Area at any level. We do hire exceptionally talented professionals with decades of experience in their field. As such, our range may be higher than what is displayed. Our base salary ranges are determined by experience and location, and we hire at all levels for multiple roles. Within the range, individual pay is determined by work location, job-related skills demonstrated during the interviews, working experience, and relevant education or training. Please note that the compensation details listed in role postings reflect the base salary only and do not include equity, tokens, or benefits.

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.

Location: Live in or able to relocate to San Francisco / San Jose area

Your Role:

Tenable is not only building great products and carving out a completely new category, but we are also building a world-class engineering culture committed to hiring the very best.

We are looking for a Senior Software Engineer to join a founding initiative within our engineering organization. In this role, you will help design and implement the Agentic AI Platform, the orchestration layer and nervous system that enables autonomous agents to reason, plan, and execute complex security workflows across our Exposure Management ecosystem.

This is a hands-on engineering role with broad impact. You will not just be "using" LLMs; you will be building the distributed systems, state machines, and tooling that transform generative models into reliable, enterprise-grade agents. 

While you will work from home the majority of your time, there may be an expectation to gather for in-person meetings on occasion. 

Your Opportunity:

• Build the Agentic Backbone: Architect and implement the backend services that power multi-agent workflows. You will build systems that allow AI agents to decompose complex user requests, manage state, and execute tasks across distributed microservices.
• Orchestration & Workflow Automation: Design scalable workflow engines and "human-in-the-loop" systems. You will enable agents to perform long-running investigations and remediation tasks, balancing autonomy with control.
• Bridge AI & Enterprise Infrastructure: Create the integration layer between modern Python-based AI frameworks and Tenable’s robust JVM-based microservices architecture.
• Reliability & Guardrails: Implement verification layers, citations, and security guardrails to ensure agents operate deterministically and safely. You will treat "prompts" as code and model outputs as untrusted input that requires validation.
• Tooling & RAG: Build advanced Retrieval-Augmented Generation (RAG) pipelines and "Tool Use" capabilities, allowing agents to query databases, call internal APIs, and synthesize data from disparate sources.
• Lead Technical Direction: Collaborate with researchers and product leads to define the roadmap for AI orchestration. Champion best practices for MLOps, agent evaluation, and system observability.

What You’ll Need:

• B.S. or M.S. in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of software engineering experience (7+ for Staff level), with a strong background in building backend systems, APIs, and platforms.
• Agentic AI Expertise: Hands-on experience building AI agents and autonomous workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Pydantic AI.
• Location: Live in or able to relocate to San Francisco / San Jose area
• Polyglot Proficiency: Strong programming skills in Python (essential for AI/ML ecosystems) with experience in, or a willingness to work with, JVM-based languages (Java, Kotlin, or Scala) for high-scale platform components.
• Distributed Systems: Experience designing event-driven architectures, managing concurrency, and building fault-tolerant services (e.g., using Kafka, gRPC, REST).
• Data Fluency: Proficiency with Relational Databases (PostgreSQL) and experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus) or search engines (Elasticsearch).
• Builder Mindset: A self-starter who thrives in ambiguity and is passionate about taking AI from "prototype" to "production-grade."

And Ideally:

• LLM Ops & Evaluation: Experience designing frameworks to evaluate agent performance (accuracy, latency, cost) and implementing CI/CD for AI workflows.
• Cloud Native: Experience deploying and scaling services in AWS using Docker and Kubernetes.
• Graph & Search: Familiarity with Knowledge Graphs or advanced search algorithms to improve agent reasoning.
• Security Context: Understanding of cybersecurity concepts (vulnerability management, cloud security) is a plus, but not required if you are a strong systems engineer.

#LI-LP1

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.

Your Role:

Tenable is seeking a Staff Software Engineer to join our VM Platform team. Our team sits at the center of our Tenable One architecture; we ingest massive volumes of assets and find data from collection teams, process it to calculate the "state of the world" for our customers, and feed it to downstream search and reporting products.

We are not just building web apps; we are solving a complex Big Data problem. You will build and maintain the high-throughput, event-driven pipelines responsible for processing the history of assets and vulnerabilities. You will move beyond simple CRUD operations to design systems that handle massive scale, ensuring that when we say an asset is vulnerable (or patched), that data is accurate and available in real-time.

To be considered for this role, you must meet one of the following criteria:

• Hybrid: Ability to commute to our Columbia, MD/Northern VA office.
• Hybrid: Ability to commute to our Boston, MA office.
• Remote: Currently reside in the San Francisco Bay Area, CA

Your Opportunity:

• Build the Future of Exposure Management: We are currently developing the backend that powers Tenable’s flagship Exposure Management (EM) platform. You will be building the future that powers our EM platform.
• Solve Complex Data Problems: Work on "team-named data processing" challenges. You will design logic that collapses millions of incoming findings into a single, accurate state record.
• Architect for Scale: Transition our systems to a new architecture designed to be faster, cheaper, and more reliable. Your work will unblock integrations across the entire company.
• Own Your Stack (DevOps): We support our services in the wild. You won't just write code; you will use Terraform and Datadog to deploy, monitor, and ensure the health of your services in production.

What You’ll Need:

• 8+ years of Backend Engineering experience with a focus on high-volume data processing or distributed systems.
• Strong JVM Proficiency: Deep experience with Java, Kotlin,is required. You should understand memory management and performance within the JVM ecosystem.
• Stream Processing Architecture: Proven experience with Kafka (ideally), AWS Kinesis, et al. You understand topics, partitions, and how to process teams of data asynchronously
• To be considered for this role, you must meet one of the following criteria: Hybrid with the ability to commute to our Columbia, MD/Northern VA office,  Hybrid with the ability to commute to our Boston, MA office, or Remote: Currently reside in the San Francisco Bay Area, CA 
• Distributed Systems Knowledge: You understand the challenges of microservices, eventual consistency, and data resiliency.
• Stateful Processing Logic: Experience calculating "state" from a history of events. You understand how to take a stream of raw data and "collapse" it into a current status.
• DevOps Mindset: Hands-on experience with Terraform for infrastructure-as-code and observability tools like Datadog to monitor metrics and graphs.
• Database Experience: Proficiency with SQL and NoSQL data stores (PostgreSQL, DynamoDB, or similar) to store and retrieve state data.
• Experience with Event Sourcing or CQRS patterns.
• While security background is a plus, we value Big Data/Data Pipeline experience first (if you can process data at scale, we can teach you the security domain).

#LI-LP1

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB.

We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges.

We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI.

The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle.

This role will be based in North America's West Coast (PST), and offers a hybrid working model.

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• Deep experience in building data warehouses and core components for data processing systems
• Have experience in using GenAI in building complex large-scale systems, and know what GenAI is best suited to do
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results
• Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset

Key Responsibilities

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Provide thought leadership, and execute AMP roadmaps to influence and shape the future of how global enterprises leverage GenAI
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the workflow of application modernization stages
• Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow
• Collaborate with MongoDB product teams to ensure the modernized applications integrate seamlessly with customers’ database ecosystem
• Act as a hands-on leader, guiding the team through technical challenges related to where and how to leverage GenAI to build the critical building blocks of application modernization toolset

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments
• Established yourself as the technical leader within the team, actively driving engineering strategy and key technical decisions
• Begun collaborating with team leaders (TLs, managers) of AMP org and product counterparts on designing/improving the orchestration framework and the workflow components it manages
• Developed a comprehensive grasp of all AMP pillars and their roadmap

Within six months, you will have:

• Influenced AMP product and engineering leads on key technical decisions, and set clear direction for the team
• Successfully led the team to making substantial progress on the “big rock” deliverables and critical milestones of AMP product, enabling the team to smoothly land the planned roadmap
• Owned and delivered some key pieces of AMP orchestration framework and the workflow components it manages
• Served as a role model and strategic leader for the AMP org
• Contributed to establish engineering excellence standards for the team, and began mentoring and providing technical guidance to team members

Within 12 months, you will have:

• Become recognized as the strategic engineering leader both within and outside of the AMP organization
• Helped senior leadership (e.g., Directors/VP) on defining the technical strategy and roadmap for the future
• Enabled the team to deliver a stable, production-ready platform that supports autonomous application modernization workflow for our Field Engineering teams
• Drove the adoption of engineering excellence, making it a core tenet of the team's culture and operations
• Contributed to the development of tech leads within the team, fostering growth opportunities. Played a key role in shaping the AMP organization into a self-driving high-performing engineering team

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req. ID: 1273362664

WHY WE'RE HERE:

The systems engineering team is looking for experienced systems engineers to support a Group 5 aircraft program at Anduril. The ideal candidate will have experience working with complex unmanned aerial systems (UAS), and ideally will have a strong background in software systems for unmanned platforms. In addition to a strong technical background, the ideal candidate will also have experience integrating feedback from test and evaluation campaigns to improve products and systems.

WHAT YOU'LL DO

We are hiring a Staff Systems Engineer with a background in air vehicle software systems to support ongoing development of a group 5 autonomous aircraft.

• Shape customer needs into air vehicle and subsystem software requirements in collaboration with multidisciplinary teams.
• Develop System Engineering artifacts, including system model, to trace from stakeholder inputs through design in a digital thread. Incorporate input from system safety, software engineering, and other disciplines to shape system architecture and support airworthiness certification.
• Communicate and manage program risks in conjunction with Chief Engineer and Program Management.

REQUIRED QUALIFICATIONS

• B.S. in aerospace, mechanical, computer science or similar engineering or technical field
• 12+ years Engineering Experience across the life cycle for an UAS with specific focus on aircraft systems
• Familiarity and experience with the following standards and handbooks: MIL-HDBK-516C, MIL-STD-882E, ARP-4761, ARP-4754A, DO-178C, DO-254, MIL-STD-881
• Experience developing subsystem software requirements and interfaces; including mission systems
• Experience with contingency management software architecture and requirements
• Experience on mature Aircraft development programs including operational testing and airworthiness certification.
• Experience with SysML, DoDAF, UAFP, or similar
• Experience developing various model based system engineering artifacts - Operational Viewpoints, System Viewpoints, activity diagrams, use case diagrams, BDDs, IBDs, parametric diagrams, etc...
• Outstanding communication skills to include presentation of developed artifacts
• Must hold an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with Cameo MagicDraw or similar systems engineering software
• Experience with Digital Engineering workflows and Integrated Modeling Environments (i.e. Teamwork Cloud)
• Demonstrated High ownership and autonomy across the end-to-end systems engineering lifecycle.
• Must be able to obtain and hold a U.S. Top Secret security clearance

ABOUT THE JOB

The Infrastructure Engineering organization is looking for an accomplished Staff Network Engineer to lead our acquisition integration engineering practice with a specific focus on networking. This pivotal role will own the end-to-end network infrastructure engineering lifecycle of integrating newly acquired businesses into Anduril's existing ecosystem. You will be instrumental in defining, executing, and maturing our network integration processes, from initial discovery and assessment through migration execution and hypercare. This individual will possess a remarkable dynamic range, capable of engaging effectively with company founders and executives, producing network architecture and roadmaps, and rolling up their sleeves to perform hands-on engineering work. A key responsibility will be collaborating with stakeholder teams (Merger & Acquisition program team, Client Engineering, Business systems & Applications) to define and establish our network acquisition integration engineering practice, developing repeatable, benchmarked processes that undergo rigorous post-mortems and continuous improvement. You will also identify critical tooling gaps that can expedite discovery, migration, and testing activities, either building these tools yourself or scoping them for peers to deliver. While you will collaborate closely with Security and Client Engineering teams, a strong foundational understanding of these domains is essential, complementing your deep networking expertise.

WHAT YOU'LL DO

• Define, establish, and lead the network infrastructure integration engineering practice, setting the technical vision and strategy for integrating new entities and their network technologies.
• Single threaded ownership of all network infrastructure components of acquisition integration from discovery and due diligence through migration execution and hypercare.
• Conduct comprehensive technical assessments of target companies' network infrastructure, systems, and operational capabilities, identifying risks and opportunities.
• Develop and present high-level network architectural strategies and detailed roadmaps for integrations to executive leadership, founders, and technical teams.
• Design and implement robust, scalable, and secure network architectures for integrated environments, ensuring alignment with Anduril's overall technology strategy.
• Develop and execute detailed network migration plans, managing complex technical challenges and dependencies.
• Provide post-migration hypercare support for network infrastructure, ensuring a smooth transition and stabilization of integrated systems.
• Define, document, and continuously improve repeatable network integration processes to accelerate acquisition integration, establishing benchmarks, conducting post-mortems, and implementing lessons learned.
• Identify, evaluate, and implement or scope the development of new tools and technologies to enhance network discovery, migration, and testing efficiency.
• Collaborate closely with Security teams to ensure all integrated network infrastructure meets Anduril's stringent security requirements and policies.
• Partner with Client Engineering teams to ensure seamless integration of acquired client-facing network services and connectivity.
• Provide clear, concise, and opinionated technical guidance on networking, and proactively push back on misaligned proposals to ensure successful technical outcomes.
• Act as a technical authority, mentor, and trusted advisor to engineering teams involved in network integration efforts.

REQUIRED QUALIFICATIONS

• Minimum of 9 years of progressive experience in Network Engineering and/or IT Infrastructure roles with a focus on complex, enterprise-scale network environments.
• Self-sufficient ability to execute in (technical and non-technical) program management, network architecture, and hands-on engineering capacities.
• Demonstrated expertise in defining and building network engineering practices and repeatable processes.
• Proven ability to operate across the entire network engineering lifecycle, from strategic discovery and architecture to hands-on execution and hypercare.
• Exceptional ability to communicate complex network technical concepts to diverse audiences, including C-suite executives, founders, and engineering teams.
• Deep understanding of modern cloud networking (AWS, Azure, GCP), hybrid cloud network solutions, and on-premises network infrastructure.
• Extensive experience with enterprise networking technologies, including advanced routing (BGP, OSPF), switching (VLANs, Spanning Tree), firewalls (Palo Alto, Fortinet, Cisco ASA), VPNs (IPsec, SSL), and load balancing (F5, HAProxy).
• Strong knowledge of network protocols, network segmentation, and traffic management.
• Experience with network security principles, intrusion detection/prevention systems (IDS/IPS), and security information and event management (SIEM) systems as they relate to network infrastructure.
• Proficiency in scripting and automation for network deployment and management (e.g., Python, Ansible, Terraform, Nornir).
• Strong understanding of security principles, best practices, and common vulnerabilities within network infrastructure.
• Familiarity with client engineering principles and technologies, particularly as they interface with network services.
• Proven experience in identifying tooling gaps and either developing solutions or effectively scoping them for development.
• Excellent analytical, problem-solving, and critical thinking skills related to network performance and reliability.
• Ability to travel for remote deployments and assessments as required.
• Ability to obtain and maintain a US Secret Clearance

PREFERRED QUALIFICATIONS

• Experience with network automation frameworks and principles.
• Familiarity with CI/CD pipelines and DevOps methodologies as applied to network operations.
• Experience with data center network design and operations.
• Experience in the defense technology or highly regulated industries with a strong network security focus.

About The Team & Role:

Rubrik’s sales organization is a united group of elite cross-functional sales professionals that help companies & government entities achieve resilience against cyberattacks, malicious insiders, and operational disruptions. We offer continuous professional development through our world class sales enablement program and our One Rubrik selling approach provides all the resources you need to exceed your goals, maximize your earnings potential and take your career to the next level. All this while doing something that truly matters, protecting the world's data.

As a Strategic Sales Engineer, you will provide technical direction and business guidance to the regional sales team. We are seeking a self-starter who will exceed sales quotas by driving innovative technical programs, pipeline generation alongside AEs, customer demonstrations, POCs, and overseeing day-to-day account-level activities. You will be responsible for evangelizing, positioning, and architecting Rubrik’s Data Resilience, Observability and Remediation tools to a targeted list of new & existing customers throughout the West Region.

What You'll Do:

• Provides technical leadership and direction to customers and internal staff in the development of fully integrated technology solutions in support of pre-sales activities in the assigned market.
• Assists in the analysis, design and development of fully integrated technology solutions.
• Demonstrates technical leadership and subject matter expertise on Rubrik’s products, distributed architectures, file systems, and competitive storage offerings in the SAN product space.
• Acts as technical expert and consultant to develop and propose solutions that meet the technology and business requirements of assigned customers.
• Makes technical and sales presentations to customer's technical staff and senior management.
• Serves as a trusted technology advisor to customers and serves as an internal resource on technical issues or specific business applications within an assigned market segment.
• Successfully builds relationships with the account team, partners and customers in support of sales team objectives and engages and leverages corporate resources, abilities, budgets and personnel as appropriate.
• Leads technical sales calls
• Qualifies sales opportunities in the terms of customer technical requirements, competition, decision making process and funding.

Preferred Qualifications:

• 5+ years of sales engineering experience preferably in a software or data center environment.
• Driven – need for success, highly energetic with a strong hands-on, “can do” approach.
• The successful candidate must have a fundamental breadth of technical knowledge in cloud data management, backup and disaster recovery and data analytics.
• Entrepreneurial - willing to go the extra mile, strong work ethic, resourceful, “get it done” attitude
• Strives in moving in a fast-paced environment; including handling multiple calls/demos per day with immediate follow up.
• A high level of business acumen and experience working with Cx0 level personnel, bringing technology solutions to solve business challenges.
• Smart, adaptable and open-minded

#LI-CG1

Principal, CPU Architecture & Performance Research Engineer

What You’ll Do

Architecture Research Lab is seeking Principal CPU Architecture & Performance Engineer to lead the definition, analysis, and optimization of next-generation CPU microarchitectures (RISC-V core). This role is focused on end-to-end performance: from architectural trade-offs and workload characterization to micro-architectural modeling, simulation, and silicon bring-up correlation.

You will work closely with architecture, design, compiler, and system teams to drive performance and efficiency across a broad set of real-world workloads

Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42918

• Define and evaluate CPU micro-architectural features for future cores (frontend, execution engine, memory hierarchy, interconnect).
• Lead performance analysis using simulators, RTL.
• Help develop and validate performance models (cycle-accurate, trace-driven, statistical).
• Characterize workloads (SPEC, server, client, AI/ML, cloud, internal traces) and translate findings into architectural requirements.
• Identify performance bottlenecks and propose data-driven optimizations.
• Drive architecture-to-implementation alignment with design team.
• Collaborate with compiler, OS, and system architects on cross-stack performance issues.
• Mentor senior and staff engineers; provide technical leadership across projects.
• Work leading to patents and publication

What You Bring

• Master’s with 18+ years of experience in Computer Engineering, Computer Science, or related field.
•  or PhD with 15+ years of experience preferred.
• 10+ years of experience in CPU microarchitecture and/or performance engineering.
• Experience with RISC-V, ARM or X86 architectures.
• Strong understanding of:
• Out-of-order execution, branch prediction, pipelines, and speculation
• Cache coherence, memory systems, prefetching, and NUMA effects
• Hands-on experience with architectural simulators (like gem5).
• Strong programming skills in C/C++ and Python.
• Familiarity with compiler optimizations and hardware/software co-design.
• Familiarity with SIMD / Vectors / VME for AI inference workloads.
• Experience analyzing large performance datasets and traces.
• Proven ability (Tapeout / Patents /Publications) to influence architecture / micro architectural decisions through quantitative analysis.

Preferred Qualifications

• Background in power/performance/area (PPA) trade-off analysis.
• Experience with SIMD/Vectors.
• Experience with compiler optimizations and hardware/software co-design.
• Prior technical leadership at Senior Staff or Principal level. 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• You approach challenges with curiosity and resilience, seeking data to help build understanding. 
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-SF1

Senior, CPU Architecture & Performance Research Engineer

What You’ll Do

Architecture Research Lab is  seeking Senior CPU Architecture & Performance Engineer to contribute to performance analysis and microarchitectural optimization of current and next-generation CPU (RISC-V) cores. This role emphasizes hands-on analysis, modeling, and close collaboration with architects and design teams to improve performance across real-world workloads.

You will focus on executing well-defined performance studies, identifying bottlenecks, and helping translate architectural ideas into measurable performance gains

 Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42851

• Perform performance analysis for CPU microarchitectural features under guidance from Staff and Principal engineers.
• Run architectural simulations and analyze results (IPC, CPI stacks, latency and throughput metrics).
• Identify performance bottlenecks in frontend, execution engine, or memory subsystems.
• Assist in evaluating design trade-offs using trace-driven or cycle-accurate models.
• Characterize workloads and benchmarks (SPEC, server, client, internal traces).
• Develop scripts and tools to automate performance analysis.
• Work leading to patents and publication.

What You Bring

• Master’s, or PhD in Computer Engineering, Computer Science, or related field.
• 2+ years of experience in CPU microarchitecture and/or performance engineering.
• Strong understanding of:
• Out-of-order execution, branch prediction, pipelines, and speculation
• Cache coherence, memory systems, prefetching, and NUMA effects
• Hands-on experience with architectural simulators (like gem5).
• Strong programming skills in C/C++ and Python.
• Experience analyzing large performance datasets and traces.
• Familiarity with compiler optimizations and hardware/software co-design.

Preferred Qualifications

• Experience with RISC-V, ARM or X86 architectures.
• Background in power/performance/area (PPA) trade-off analysis.
• Familiarity with SIMD / Vectors / VME for AI inference workloads.
• Prior tapeout / patent / publication experience. 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• You approach challenges with curiosity and resilience, seeking data to help build understanding. 
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-SF1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop the verification infrastructure and automation environment involved in build, simulation, regression and triages.
• Lead the verification for IP blocks of an AI accelerator by working with architects and RTL engineers.
• Create direct or random testbench, define verification scope and test plans for both functional and performance validation, close the verification quality metrics.
• Provide comprehensive documentation of verification strategy and ensure test environment is easy to use.
• Mentor junior engineers when necessary
• Work cross-functionally in debugging failures with design, compiler and simulation engineers

What You Bring

• Bachelor’s with 15+ years, or Master’s with 13+ years, or PhD's with 10+ years of industry experience.
• Strong background in SoC or IP verification and test bench development using UVM, System Verilog, C/C++ and scripting languages such as Perl/Python.
• Experience verifying at multiple levels of logic from scratch, starting from complex IP blocks to dies to SoCs to full system testing
• Understanding RTL and strong overall debugging skills
• Prior experience with computational logic, interconnect networks and/or memory system is desirable
• Strong background in microarchitecture and computer architecture preferably in the area of AI accelerators
• Knowledge of FPGA and emulation platforms preferred
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.

#LI-VL1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

We are looking for a Senior Engineer, RTL Memory Centric Computing.  This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop IP for memory centric computing systems using Verilog, System Verilog and HLS
• Optimize the IP for performance, power, and area by leveraging advanced design techniques such as pipelining, parallelism, and data compression.
• Collaborate with Verification engineers to design and develop test plans
• Make design decisions out of a large design trade-off space across performance, power, thermal, and cost.
• Troubleshoot and debug hardware issues and ensure the quality of the design through verification and validation.
• Stay up-to-date with the latest advancements in machine learning and hardware architecture and contribute to the development of new technologies.
• Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget
• Complete other responsibilities as assigned.

What You Bring

• Bachelor’s with 15+ years, or Master’s with 13+ years, or PhD's with 10+ years of industry experience.
• Strong background in microarchitecture and computer architecture
• 5+ years of experience in front-end design methodology involving RTL development for complex control and data path IPs
• Experience in designing Memory Controller, NOC, Interconnect IP
• Experience in Memory Centric computing IP and  SOC integration
• Experience in AI/ML workloads.
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change

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The SoC Architect will serve as a key technical leader, translating client requirements into an optimal SoC blueprint that achieves aggressive PPA (Power, Performance, Area) targets and driving its successful implementation.  This role will be a critical leader who provides the technical blueprint that ultimately realizes our clients' business objectives and should have a deep understanding of the complexities of custom SoC development and the ability to leverage broad system knowledge to create innovative solutions.

Location:  Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work Policy with an average of 20% travel per month.

Reports to: Team leader/Head of Custom SoC Solutions Team

What You’ll Do

Customer Requirement Definition and Architecture Design:

• Analyze and define the functional, performance, and power requirements based on the client's end product and application (e.g., mobile, edge device, data center or physical AI).
• Conceive and specify the Top-Level SoC Architecture and Microarchitecture, including CPU/GPU/NPU cores, memory subsystem, Interconnect (Coherent/Non-Coherent Fabric), and high-speed I/O interfaces (e.g., PCIe, UALink or ESUN).

Architecture Exploration and Validation:

• Evaluate various architectural trade-offs and validate architectural decisions using performance and power modeling (C/C++, SystemC).
• Provide technical guidance on IP selection, integration, and system optimization, and define the Design for Debug/Test/Excellence (DFx) strategy.

Technical Collaboration and Leadership:

• Collaborate closely with cross-functional teams (HW Design, Verification, Physical Design, Software) to ensure architectural specifications are accurately translated into the design and implementation phases.
• Identify and resolve technical risks throughout the project lifecycle, and lead technical communication with clients and

 What You Bring

• Bachelor’s Degree in Electrical Engineering, Computer Science, or related discipline and 10+ years of experience, or Master’s and 8+ years of experience. 
• 5+ years experience in SoC Architecture or System Engineering (experience in custom ASIC/SoC projects is a plus)
• Deep understanding of Computer Architecture and SoC Design (including CPU, GPU, Accelerators, Caches, and Memory Systems).
• Expert knowledge and design experience with on-chip interconnects (e.g., AMBA AXI/CHI) and High-Speed Interface protocols.
• In-depth knowledge of Power Management and low-power design techniques.
• Experience with SoC-level Clock, Reset, and Power Domain architecture.
• Comprehensive understanding of the overall RTL design and SoC design flow (Implementation & Verification).
• Excellent problem-solving skills to independently identify, analyze, and resolve complex technical issues.
• Ability to communicate and negotiate effectively with diverse stakeholders, including hardware and software engineering teams, managements, and clients.
• Proficiency in scripting languages such as Python/Perl
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-VL1

What You’ll Do

The DRAM Development Lab (DDL) is part of Samsung’s Memory Business Unit, the industry's technology and volume leader in DRAM, HBM and NAND Flash.  DDL’s vision is to solve key problems of Cloud & Data center by developing the new technology for memory and storage. The SoC Architecture team is involved in  SoC‑level designs for emerging memory/storage solutions and validates each design’s feasibility with hands‑on RTL implementation. We are an integral part of Samsung’s strong R&D focus & lab innovation engine. We work closely with development teams to bring feature innovation to product roadmaps.

This role offers the opportunity to shape next-generation SoC and subsystem architectures while staying deeply hands-on in RTL design, integration, and validation. It is ideal for engineers who want to turn advanced memory and storage concepts into real hardware and drive them all the way to silicon

Job ID: 42896

Location: Daily onsite presence at our Folsom office in alignment with our Flexible Work policy

• Collaborate with architecture, design, verification, and system teams to define and implement SoC features and subsystems
• Translate architectural requirements into microarchitecture, RTL design, and verification plans
• Design and develop RTL for SoC blocks and integration logic using SystemVerilog/Verilog
• Drive block- and SoC-level integration activities, including clocking, reset, power intent, interfaces, and configuration infrastructure
• Analyze performance, power, area, and timing tradeoffs to deliver efficient and scalable designs
• Support design verification by debugging issues found in simulation, emulation, formal analysis, and silicon validation
• Participate in pre‑silicon validation and post‑silicon bring‑up, including root‑cause analysis and issue resolution
• Contribute to technical documentation, block specification, test plans, and design reviews

What You Bring

• Bachelors in Electrical, Computer Science or related with 15+ years of experience or Masters in Electrical, Computer Science or related Science with 13+ years of Industry Experience or PhD in Electrical, Computer Science or related Science with 10+ years of Industry experience preferred.
• Strong technical background in SSD architecture and storage technologies, including controller architecture, NAND/flash behavior, data path design, and system performance consideration. 
• Familiarity with DRAM architecture and memory subsystem design, including memory hierarchy, bandwidth/latency tradeoffs, buffering, and traffic behaviors. 
• Experience with data integrity and protection mechanisms, such as ECC, parity, CRC, RAID, and end-to-end data protection schemes. 
• Experience contributing to complex hardware products from architecture definition through RTL implementation, verification, and silicon bring-up. 
• Proven ability to collaborate effectively across architecture, design, verification, firmware, and validation teams. 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-SF1

Staff, CPU Architecture & Performance Research Engineer

What You’ll Do

Architecture Research Lab  is looking for  Staff CPU Architecture & Performance Engineer to drive detailed performance analysis and architectural optimization for current and next-generation CPU (RISC-V) cores. This role focuses on deep ownership of performance-critical micro-architectural domains, workload analysis, and data-driven recommendations that influence core architecture decisions.

You will work closely with architects, design, compiler, and system teams to evaluate trade-offs, identify bottlenecks, and improve performance across real-world workloads

 Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42850

• Own performance analysis for one or more CPU microarchitectural domains (e.g., frontend, execution engine, memory subsystem).
• Build, extend, and validate architectural performance models and simulators.
• Perform CPI/IPC breakdowns and root-cause performance bottlenecks.
• Evaluate microarchitectural features and optimizations using trace-driven, analytical, and cycle-accurate models.
• Characterize workloads and benchmarks (SPEC, server, client, AI/ML, internal traces).
• Translate performance data into clear architectural recommendations.
• Work leading to patents and publication.

What You Bring

• Master’s in Computer Engineering, Computer Science or related filed with 8+ years of experience or PhD in Computer Engineering, Computer Science, or related field with 5+ years of experience.
• 5+ years of experience in CPU microarchitecture and/or performance engineering.
• Experience with RISC-V, ARM or X86 architectures.
• Strong understanding of:
• Out-of-order execution, branch prediction, pipelines, and speculation
• Cache coherence, memory systems, prefetching, and NUMA effects
• Hands-on experience with architectural simulators (like gem5).
• Strong programming skills in C/C++ and Python.
• Experience analyzing large performance datasets and traces.
• Familiarity with compiler optimizations and hardware/software co-design..
• Proven ability - prior tapeout experience.

Preferred Qualifications

• Background in power/performance/area (PPA) trade-off analysis.
• Experience / Familiarity with SIMD / Vectors / VME for AI inference workloads..
• Prior  leadership guiding junior engineers.
• Prior patent / publication experience. 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• You approach challenges with curiosity and resilience, seeking data to help build understanding. 
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-SF1

Job Title: Staff Engineer, AI System Architect (Hardware)

What You’ll Do
The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Senior Staff AI System Architect who will play a key role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.

Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42917

• Conduct system-level architectural research for next-generation AI systems, spanning compute, memory, and interconnect/network subsystems.
  • Develop and maintain analytical and simulation-based system modeling frameworks to evaluate AI workloads and identify performance, scalability, and efficiency bottlenecks at rack- and system-scale.
  • Analyze representative and emerging AI workloads (e.g., LLMs, DLRMs, and future AI models) to derive architecture requirements and trade-offs across compute, memory, networking, and power.
  • Drive architecture-level design decisions through quantitative modeling, design-space exploration, and performance/power projections.
  • Perform comparative studies of alternative system architectures, reporting performance and performance-per-watt metrics to guide strategic technology choices.
  • Collaborate closely with cross-functional teams in hardware architecture, memory, interconnect, and system engineering to align modeling insights with implementation realities.
  • Communicate architectural insights and recommendations through clear technical presentations and documentation.
  • Occasional domestic and international travel (<10%).

 What You Bring

• Ph.D. in Computer Science, Electrical Engineering, or a related field, with 5+ years of experience in system architecture for large-scale computing platforms, with a strong focus on AI workloads.
  • Proven hands-on experience developing analytical and event-driven simulation models for system-level performance evaluation.
  • Deep understanding of AI system hardware architectures, including compute, memory hierarchies, and high-performance interconnects.
  • Strong knowledge of modern and emerging AI workloads, including LLMs, DLRMs, and large-scale training and inference systems.
  • Demonstrated ability to translate workload characteristics and modeling results into actionable architectural design decisions.
  • Proficiency in Python, C++, and PyTorch for modeling, analysis, and experimentation.
  • Excellent written, verbal, and presentation communication skills, with the ability to influence technical direction across teams.
  • A collaborative mindset, intellectual curiosity, and resilience in tackling complex, open-ended system-level challenges.  
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• You approach challenges with curiosity and resilience, seeking data to help build.
• Understanding. You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 

#LI-SF1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop the verification infrastructure and automation environment involved in build, simulation, regression and triages.
• Lead the verification for IP blocks of an AI accelerator by working with architects and RTL engineers.
• Create direct or random testbench, define verification scope and test plans for both functional and performance validation, close the verification quality metrics.
• Provide comprehensive documentation of verification strategy and ensure test environment is easy to use.
• Mentor junior engineers when necessary
• Work cross-functionally in debugging failures with design, compiler and simulation engineers

What You Bring

• Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
• Strong background in SoC or IP verification and test bench development using UVM, System Verilog, C/C++ and scripting languages such as Perl/Python.
• Experience verifying at multiple levels of logic from scratch, starting from complex IP blocks to dies to SoCs to full system testing
• Understanding RTL and strong overall debugging skills
• Prior experience with computational logic, interconnect networks and/or memory system is desirable
• Strong background in microarchitecture and computer architecture preferably in the area of AI accelerators
• Knowledge of FPGA and emulation platforms preferred
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.

#LI-VL1

Memory IO Lab is part of Samsung’s Memory Business Unit, the industry's all-time DRAM and NAND Flash leader both in technology as well as in volume. Memory IO’s vision is to provide memory interface technology solutions which can be adopted in DDR, LPDDR, GDDR, and more. We are an integral part of Samsung’s paramount R&D innovation engine. We work closely with cross-disciplinary development teams to bring feature innovation to product roadmaps.

Come and join the team that is providing the next generation IO tech solutions to support emerging machine learning applications, data analytics, and edge computing.

Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work policy

What You'll Do

• Hands on in analog circuit design, which includes circuit design, running simulations to confirm functionality and performance, and work with verification team to verify design. The mixed-signal designs will include but are not limited to the following: high-speed data converters, PLL, and SERDES.
• Guide layout floor-planning block and top level to optimize the overall performance; supervise the layout activities and give concise guidelines to layout engineers, need to be hands on in drawing layout if necessary.
• Ownership of circuit and system specifications.
• Simulate designs with state-of-the-art CAD tools.
• Document designs and simulation results.

What You Bring

• BS 10+ years experience, MS 8+years of experience, PhD 5+ years experience in Electrical Engineering, Computer Science preferred. 
• 5+ years of experience working with system on chip architecture, high-speed serial interfaces, analog and mixed-signal circuit designs using advanced CMOS technology nodes.
• Prior experience in design of any one of the standard high speed interfaces like DDR, LPDDR, , GDDR, HBM I/O interface.
• Needs to be an expert in providing and understanding layout requirements of high speed circuits.
• Knowledge of all facets of high speed I/O design but specifically should include DLL / PLL / FFE / CTLE / DFE, output drivers , ODT, Duty cycle correction (DCC), Training/calibration to improve timing, high speed power design and low power design.
• Experience working closely with device/process team to define transistor specs
• The ideal individual must have proven ability to achieve results in a fast moving, dynamic environment.
• Ability to troubleshoot and analyze complex problems.
• Excellent communication (written and verbal) and interpersonal skills
• Experience in high frequency clock distribution design, implementation, and analysis.
• Deep understanding of PPA (performance, power, and area) trade-offs.
• Ability to handle EDA tools well, such as Cadence, MATLAB (Simulink), and EM tools
• Experience on silicon bring-up and automatic measurement using script
• Strong scripting and automation skills using Tcl/Perl. Knowledge of Python is a plus.
• Self-motivated problem-solver with an ability to work well in a team.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-SF1

Join Samsung Semiconductor to guide the development and design evaluation of next‑generation semiconductor packages and memory devices. In this role as a Staff Engineer for Mechanical Simulation, you will partner with cross‑functional, multicultural teams to advance innovative packaging solutions, automate simulation workflows, and bridge the gap between numerical predictions and experimental validation.

Location:  Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work policy with 10-20% of domestic and international travel.

Reports to: Principal Engineer

What You’ll Do

• Perform advanced numerical modeling and simulation to evaluate and improve the performance and reliability of cutting‑edge semiconductor packages and memory devices.
• Provide mechanical and thermal design support throughout package‑ and system‑development stages—from concept and detailed modeling to qualification and reliability testing.
• Apply hands‑on expertise in mechanical and thermal modeling of micro‑electronic components, including interconnects, solder joints, BGAs, and advanced‑packaging architectures.
• Develop and maintain scripts for process automation (Python, MATLAB, or ANSYS APDL) to streamline pre‑processing, simulation, and post‑processing workflows for parametric and sensitivity studies.
• Leverage a solid understanding of semiconductor manufacturing, advanced‑packaging technologies, material properties, and associated design and reliability constraints.
• Design, execute, and interpret validation experiments that correlate and calibrate simulation models with empirical data.
• Contribute effectively both independently and as a member of cross‑functional, cross‑cultural, and globally distributed teams.

What You Bring

• Ph.D. in Mechanical Engineering, Materials Science, Physics, or a related field. (Equivalent combination of a Master’s degree and extensive professional experience also welcomed).
• 10+ years of hands‑on modeling and simulation experience in the high‑tech or semiconductor industry.
• Proven expertise with leading simulation tools such as ANSYS, Abaqus, HyperMesh, and their associated pre‑/post‑processing software.
• Proficiency in thermal‑analysis platforms Flotherm and Icepak, together with related utilities.
• Extensive experience in static and dynamic simulations, covering linear and nonlinear analyses that involve geometric and material non‑
• Deep knowledge of thermal analysis and cooling‑design strategies for advanced packaging solutions.
• In‑depth understanding of advanced semiconductor packaging, interconnect structures, and reliability‑modeling techniques.
• Strong technical‑writing skills, capable of producing clear, comprehensive documentation and communicating complex concepts to both technical and non‑technical audiences.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-MD1

Samsung Semiconductor is hiring now for a Staff Engineer, Memory Systems Architecture.  The conventional DRAM failure analysis was physical electrical FA and physical FA. But, in the era of Data center, it is easier to track the field failure information. With this data set, Fault management team’s role is finding DRAM failure mode, abnormality and failure rate projection.

You will be part of an incubation team working on in-field telemetry intended to transform the Customer Quality Experience for Samsung memory products. Fault Management is the future of quality to minimize system downtime within AI/ML hardware deployments and workloads of the future. We analyze trends and patterns from enormous memory fleet telemetry to bucketize failures and perform virtual root-cause analysis. Telemetry analysis helps us design solutions to proactively avoid system downtime. We conduct research and develop both in-house and collaboratively in the industry with the opportunity to publish our findings through whitepapers and conferences. We are looking for innovative and passionate thinkers who can work in a start-up environment and are excited to shape the future of data centers around the world. Join us in our mission!

What You'll Do

• Based on the knowledge of SOC controller and memory operation including RAS feature, find and recommends better solution to mitigate the field DRAM failure rate.
• Needs to communicate better ECC scheme to customers based on Samsung DRAM failure mode(DQ and burst)
• Interface with customers to establish the value add of enabling in-field fault management architecture
• Contribute to the standardization of DRAM/HBM failure logging in the OCP.
• Propose and develop platform RAS (Reliability Availability Serviceability) algorithms for memory fault management such as page offlining, hPPR and conduct POC with known failure DIMMs in the real server and application.

Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work Policy.

Job ID: 42886

 What You Bring

• Bachelor’s degree with 10+ years of relevant industry experience, or Master’s with 8+ years or PhD with 5+ years hardware fault management, reliability, data center fleet management experience or related technical field preferred. (Must)
• Knowledge of platform memory subsystem, platform RAS (Reliability Availability Serviceability) such as ECC, page offlining, hPPR and hardware sparing.
• ECC design and verification and reverse engineering experience.
• Understanding on the address mapping between CPU and memory.
• Memory controller register modification.
• Linux kernel commit experience.
• DRAM and HBM failure mode understanding.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-MD1

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

We are looking for a Senior Engineer, RTL Memory Centric Computing.  This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design.

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop IP for memory centric computing systems using Verilog, System Verilog and HLS
• Optimize the IP for performance, power, and area by leveraging advanced design techniques such as pipelining, parallelism, and data compression.
• Collaborate with Verification engineers to design and develop test plans
• Make design decisions out of a large design trade-off space across performance, power, thermal, and cost.
• Troubleshoot and debug hardware issues and ensure the quality of the design through verification and validation.
• Stay up-to-date with the latest advancements in machine learning and hardware architecture and contribute to the development of new technologies.
• Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget
• Complete other responsibilities as assigned.

What You Bring

• Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
• Strong background in microarchitecture and computer architecture
• 5+ years of experience in front-end design methodology involving RTL development for complex control and data path IPs
• Experience in designing Memory Controller, NOC, Interconnect IP
• Experience in Memory Centric computing IP and  SOC integration
• Experience in AI/ML workloads.
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change

#LI-VL1