Astera Labs is seeking experienced Senior Firmware Engineer PCIe/CXL Memory Solution to lead the design and development of embedded firmware for cutting-edge PCIe/CXL memory expansion products tailored for AI and Cloud infrastructure. This role is pivotal in enabling next-generation memory devices that power high-performance computing platforms. This position will be required onsite.

Required Experience:

• Bachelor’s degree in Electrical Engineering, Computer Science, or a related technical field.
• 5+ years of hands-on experience in embedded firmware development using C.
• Deep expertise in low-level firmware for hardware bring-up, traffic enablement, and RAS (Reliability, Availability, Serviceability) feature implementation.
• Proven track record working with high-speed interfaces and protocols such as PCIe, CXL, DDR, and I2C.
• Hands on experience in CPU to Device, Device to Device flows like MMIO, DMA, PCIe P2P.

Key Responsibilities & Skills:

• Firmware development, bring-up, and validation of PCIe/CXL/DDR interfaces at PHY and Link layers.
• Interpret technical specifications and develop robust, low-level C code in RTOS environments.
• Collaborate effectively with cross-functional teams and external partners to deliver weekly firmware releases and feature demonstrations.
• Strong debugging skills and ability to triage and resolve issues in complex embedded systems.
• Familiarity with server I/O and memory workflows, performance tuning for latency and bandwidth optimization is a plus.
• Experience with pre-silicon validation in emulation environments is desirable.

We are looking for a heavy-hitter to build the "Data Backbone" of our company. You will be responsible for the architecture, scaling, and reliability of the infrastructure that powers our Data Engineering and ML teams. Your goal is to provide a seamless, self-service environment where data scientists can go from a JupyterHub notebook to a massive Ray cluster or Trino query without worrying about the underlying hardware.

Responsibilities

• Data Plane Ownership: Architect and manage the lifecycle of high-throughput data tools including Trino, Ray, and JupyterHub on Kubernetes.
• GitOps & Automation: Drive a "zero-manual-touch" philosophy using ArgoCD and Terraform to manage complex, stateful data environments.
• Observability at Scale: Build high-cardinality monitoring systems using VictoriaMetrics and Vector to track pipeline health, data ingestion rates, and system performance.
• ML Lifecycle Support: Maintain and optimize MLflow for model tracking, ensuring it integrates deeply with our compute and storage layers.
• Engineering Sovereignty: As a self-starter, you will identify performance bottlenecks in data processing and proactively implement infrastructure-level optimizations.
• Reliability: Participate in on-call rotations for the data stack, treating "data downtime" with the same urgency as a site outage.

The Technical Toolkit

Qualifications:

• The "Data-Aware" Engineer: You understand that scaling a database or a Ray cluster is different from scaling a stateless API. You know how to handle persistent volumes and data gravity.
• Senior Leadership: You’ve spent time in the trenches. You’ve been on-call for 2:00 AM outages and have built the automation to ensure those outages never happen twice.
• Tooling Polyglot: You don't just use tools; you contribute to them. You are comfortable writing Go or Python to extend Kubernetes Operators or automate data workflows.
• Self-Directed: You thrive in ambiguity. You can take a high-level requirement ("Make Trino faster") and turn it into a multi-week infrastructure roadmap.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Successful candidates must be able to demonstrate U.S. citizenship, permanent residency, or status as a protected individual to satisfy ITAR, contractual, and/or regulatory requirements.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $182,400 - $228,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

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.

About the Company:

At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape.

We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing.

About The Role

You will join the System on Chip (SoC) Design Team at SK hynix memory solutions America, a group dedicated to delivering best-in-class controllers for high-performance SSDs. This team spans the full design cycle—from micro-architecture and RTL design to timing closure and tapeout readiness—enabling next-generation enterprise and AI data center storage solutions.

Responsibilities

• RTL design (Verilog/SystemVerilog) for IP based on existing module or new specifications.
• Collaborate, create clear documentation and communication with Design Verification, Silicon Validation, and Firmware teams to ensure design quality.

Minimum Qualifications

• Education: Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field.
• Experience: 6+ years of hands-on experience in ASIC/SoC design.
• Proficiency in logic design and micro-architecture; RTL coding in Verilog and/or SystemVerilog language.
• Experience with Lint, CDC, synthesis, power analysis and DV coverage tool.

Preferred Qualifications

• Advanced Education: Master’s or PhD in Electrical Engineering with working experiences.
• Domain Knowledge: NAND Flash, memory controller, datapath design, NVMe, PCIe, UCIe, DDR, CPU subsystem, Network Interconnect, AMBA, error correction code.
• Proficiency in AI tool to generate synthesizable and functional RTL code.
• Knowledge of design verification approaches to enhance verification coverage.

REGARDING COMPENSATION:

SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth.

The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.

About the role

Muon seeks a Staff Software Engineer to join our Information Systems team. The ideal candidate is a self-motivated and versatile software engineer with a strong desire to develop mission-critical internal software and platforms with the primary goal to reduce manual and repetitive tasks.

The Information Systems team owns the comprehensive suite of custom software, vendor software, data platforms and automated tools that will enable various teams to work more rapidly, our factories to build efficiently, and our launch teams to operate flawlessly.

Responsibilities

• Leading member of the team defining and building various platforms, tools and applications on the Information Systems team.
• Hands-on software development of internal software using modern methodologies and tools.
• Align team roadmaps with product requirements and mission needs.
• Own the end-to-end software development from product concept to delivery and maintenance to our internal customers.
• Lead overall information systems designs, and architecture; from technology selection to buy-vs-build decisions. 
• Embrace adaptability by taking on meaningful responsibilities as the company’s needs change, and be comfortable changing elevations from low-level coding to higher-level project and initiative needs.
• Define metrics aligned with critical company goals and enable the team to achieve aggressive goals.
• Closely collaborate with other internal teams and departments.

Qualifications

• B.S., M.S., or Ph.D. in computer science or related field, or equivalent experience.
• 10+ years full-stack (frontend and backend) software engineering experience.
• Deep expertise in programming languages such as Python and Javascript along with common libraries such as React and Angular.
• Deep experience selecting and deploying database technology based on specific performance and feature needs (SQL/NoSQL, PostgreSQL, MongoDB, InfluxDB, etc)
• Proficiency developing, versioning and optimizing REST and GraphQL APIs.
• Excellent communication and presentation skills.
• Excited to work in a fast-paced environment with new challenges each week.

Nice-to-have Skills

• Modern space systems experience, including software ecosystems.
• Proven success in a high-growth startup environment.
• End-to-end development from product concept to delivery to customer/market.

Salary

The salary range for this role is $210,000 - $234,000, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process. 

Job Description

• Develop and perform system validation tests using leading-edge Data Center equipment and scalable automation platforms. The validation team holds customers’ system requirements in the highest regard and is solely responsible for certifying a product’s conformance to this high bar.
• Understand the performance and functionality requirements our AI fabric Switches must deliver to enable customers developing Data Center systems using Astera Labs’ game-changing portfolio of connectivity products for Artificial Intelligence and Machine Learning applications.
• Formulate a comprehensive validation plan for AI fabric switch products. automate the testing of ICs and board products in a data-centric manner, design experiments to root-cause unexpected behavior, report results and specification compliance in an automated fashion.
• Work with key customers directly to understand their care-abouts and highlight the unique capabilities and performance of Astera Labs’ solutions.

Basic Qualifications 

• Strong academic and technical background in Electrical or Computer Engineering. At a minimum, a Bachelor’s is required, and a Master’s is preferred.
• ≥3 years' experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications.
• Basic understanding of x86/ARM architecture, UEFI/Linux boot sequence. 
• Good understanding of High Speed Signaling Principles.
• Professional attitude with the ability to prioritize a dynamic list of multiple tasks, to plan and prepare for customer/internal meetings in advance, and to work with minimal guidance and supervision.
• Entrepreneurial, open-mind behavior and can-do attitude. Think and act with the customer in mind!

Required Experience 

• Hands-on, thorough knowledge of high-speed protocols like  PCIe, CXL, NVMe, or Ethernet.
• Experience with Silicon/System bring-up, validation, and debug experience, including in customer systems.
• A strong background in developing bench automation techniques, especially using Python, with emphasis on execution efficiency, repeatability, data analysis and reporting.
• Experience with lab equipment including protocol analyzers, in-circuit debuggers, and CPU-based tool suites.
• Ability to work on multiple projects.

Preferred Experience 

• Working knowledge of C or C++ for embedded FW and device drivers.
• Familiarity with PCIe compliance standards and ability to follow and be involved in compliance consortiums to adapt the tests to be run from X86/ARM based platforms.
• Knowledge of schematic capture and PCB layout tools from Cadence Allegro, Altium, etc.
• Exceptional interpersonal and collaboration skills, with a proven track record of effectively leading, influencing, and navigating complex matrixed environments.

Your base salary will be determined based on your experience and the pay of employees in similar positions. The base salary range is $135,000 USD - $165,000 USD for Senior Level, and $160,000 USD - $195,000 USD for Staff Level.

As an Astera Labs Physical Design Engineer (Place & Route) to play a crucial role in the planning, coordination, and execution supporting the design of Astera Labs' portfolio of connectivity ASICs used in the world's leading cloud service providers, server and network OEMs. This is a generalist physical design role requiring broad expertise across floorplanning, place-and-route, timing closure, and physical sign-off. You will work closely with designers, verification engineering, and engineering operations to drive blocks from RTL to GDSII. This role is fully on-site and in-person.

Basic Qualifications:

• Strong academic and technical background in electrical engineering. A Bachelor's degree in EE / Computer Engineering is required, and a Master's degree is preferred.
• 3+ years of experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications.
• Professional attitude with the ability to prioritize a dynamic list of multiple tasks, plan and prepare for customer meetings in advance, and work with minimal guidance and supervision.
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act fast with the customer in mind!

Required Experience:

• Hands-on and thorough knowledge of synthesis, place and route, timing, extraction, EM-IR, formal verification (equivalence) and other backend tools and methodologies for technologies 7nm or less.
• Block level ownership from architecture to GDSII, driving multiple complex designs to production.
• Experience with Cadence and/or Synopsys physical design tools/flows.
• Familiarity and working knowledge of SystemVerilog/Verilog.
• Proven expertise in developing/maintaining timing constraints, timing signoff methodology, timing closure at the block or full-chip level.
• Experience in working with IP vendors for both RTL and hard-macro blocks.
• Good scripting skills in Tcl, Python, or Perl.

Nice to Have Experience Includes:

• Knowledge of design for test (DFT).
• Familiarity with ECO methodologies and tools.
• Knowledge of LVS/DRC closures.
• Experience with high-speed SERDES or Ethernet PHY design integration.
• Experience with clock tree synthesis optimization.
• Familiarity with PCIe, CXL, or Ethernet connectivity protocols.

What You'll Do:

• Build, maintain, and support Archer's Network Infrastructure
• Plan, design, and implement LAN/WAN solutions including SD WAN
• Align with and contribute to Information Security strategy and plan
• Support and troubleshoot network issues including after-hours where required
• Coordinate with vendors for scope of services, timing of work, execution, and acceptance of deliverables
• Create and maintain documentation of network topology and standards
• Research and document comparisons for cost, vendors, & services
• Perform procedures to support Compliance requirements (SOX, ISO, and other)
• Create documentation of internal procedures and internal Client-facing knowledge base articles
• Create, update, and report network metrics to the IT Leadership Team
• Provide support for office-based and remote personnel
• Provide onsite tactical support for business partners
• Ability to communicate at all levels of the business

• Minimum 7 years of experience working in an enterprise level environment supporting network infrastructure and hybrid environments.
• Experience with Palo Alto networks firewall technologies along with Panorama, GlobalProtect and Prisma Access experience.
• Extensive experience with SDWAN technologies in general
• Experience with VLAN architecture with L3 technologies
• Experience with Cisco, ubiquity and HP/Aruba switching, wireless networking technologies, and NAC solutions
• Solid understanding of BGP and OSPF routing, L2/L3 switching.
• Hands on installation, operations maintenance and troubleshooting of network infrastructure.
• Ability to multitask and drive large scale network project deliverables.
• Familiarity with LogicMonitor or other monitoring software
• Excellent communication skills and ability to collaborate and work well with IT and other department team members.
• CCNA/CCNP or equivalent 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.

Role

We are looking for a Sr. Staff Software Engineer to join our Zscaler Digital Experience (Core Intelligence and Data) team. This is a hybrid role based in San Jose, CA 3 days a week, reporting to the Sr. Manager, Software Engineering. You will join the team responsible for building the world’s largest cloud security platform, helping us enhance services and increase our global footprint. You will play a pivotal role in enabling organizations worldwide to harness speed and agility through a cloud-first strategy, leveraging our multitenant architecture that serves over 15 million users.

What you’ll do (Role Expectations)

• Own agentic trouble shooting framework, framing high-impact use cases, designing workflows and playbooks, and building processes for all products
• Evaluate and integrate state-of-the-art GenAI advances to deliver reliable and cost-efficient production features, utilizing LLMs, various machine learning models, data processing, fine-tuning, and inference optimization
• Work with the world class cloud platform and data lakes for feature exploration and generation
• Handle volume data with the real time pipeline for data processing and aggregation
• Design, implement, and operate scalable production systems, specifically focusing on microservices, data pipelines, orchestration, and caching

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)

• BS in Computer Science with 8+ years of experience, or MS/PhD with 5+ years of experience solving real-world problems using AI/ML and distributed systems
• Proficiency in programming, data structures, algorithms, and machine learning, with exceptional problem-solving skills driven by first-principles thinking
• Hand-on experience with AI modeling, including feature generation, prompt engineering, evaluations and productionization
• Experience in the full lifecycle of ML models, including building, deployment, monitoring, and optimization
• Expertise in designing and operating distributed microservices using tools like Kubernetes and Docker, and writing production-grade code in Python, Go, or Java

What Will Make You Stand Out (Preferred Qualifications)

• Experience fine-tuning and deploying proprietary SLMs/LLMs at scale, with a focus on optimizing latency, cost, safety, and evaluations
• Experience delivering production-ready AI systems, including expertise in abnormally detection, event correlation and incident investigation
• Proven ability to design and implement high-performance, resilient systems with well-defined service-level objectives

#LI-Hybrid

#LI-BH1

Role 

We are looking for a Sr. Staff Production Engineer to join our team. This role is available as a hybrid opportunity 3 days a week in San Jose, CA or as a remote position, reporting to Production Engineering in the Cloud Infrastructure & Operations department. Join Zscaler to be a force multiplier for the reliability of a global platform protecting over 15 million users. 

In this role, you will provide the technical vision and hands-on execution to drive an "automation-first" culture across the company. By maturing our observability and architectural standards, you will directly reduce our Mean Time to Mitigate (MTTM) and shape the scalability of our globally distributed, multi-cloud infrastructure.

What you’ll do (Role Expectations)

• Design and implement highly available, scalable infrastructure across AWS, Azure, GCP, and bare-metal environments
• Drive an "automation-first" culture by writing code (Python/Go) to eliminate manual toil and build self-healing systems
• Implement and maintain sophisticated observability (Prometheus, Grafana, OpenTelemetry), define SLIs/SLOs, and establish error budgets
• Act as a lead Incident Commander (TDO on-call), develop response playbooks, and conduct deep-dive post-incident analyses
• Partner with Engineering and partner teams to conduct operability reviews

Who You Are (Success Profile)

• You act like an owner with a bias for action and integrity.
• You are a pragmatic builder obsessed with creating, iterating, and shipping.
• You champion simplicity by distilling complex problems into clear, actionable plans.
• You are data-driven, valuing evidence over assumptions.
• You think at scale, building solutions and processes built to last a high-growth global organization.

What We’re Looking for (Minimum Qualifications)

• 8+ years of experience managing reliability, scalability, and availability for large-scale production services
• Deep expertise in programming (e.g., Python, Go, or C/C++)
• Strong background in networking protocols, Linux/FreeBSD systems, and distributed architecture
• Experience in high-stakes incident management and participation in a 24/7 on-call rotation
• Proficiency in leveraging ITIL frameworks and incident data to drive service maturity through systematic problem management and technical operability reviews

What Will Make You Stand Out (Preferred Qualifications)

• Extensive experience with public cloud (AWS, Azure, GCP) and Infrastructure-as-Code (Ansible, Terraform)
• Experience with chaos engineering and disaster recovery planning at scale
• Expertise in global routing (BGP) and traffic tunneling (GRE, IPSec) with a deep understanding of L7 proxy architectures (HAProxy), DNS at scale, and OS networking stack internals

#LI-Hybrid

#LI-CM3

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

We are looking for a Sr. Staff Software Development Engineer to join our Zero Trust Exchange department. This is a hybrid role based in San Jose (3 days per week in-office), reporting to Sr. Manager, Software Development Engineering.

The Zscaler Client Connector (ZCC) team plans to modularize existing code into individual and separate libraries so that they can be better integrated into cross-platform releases, well unit tested and shared with other teams within the company. We are looking for engineers with C/C++ skillset who can work on this ambitious project.

What you’ll do (Role Expectations)

• Modularize existing and new ZCC code into separate libraries
• Write well maintained and unit-testable code
• Use state-of-the-art technologies for better scalability and memory safety

Who You Are (Success Profile)

• 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. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• 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 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 pragmatic builder. You are obsessed with creating, iterating, and shipping. You aren't afraid to roll up your sleeves and build the first version yourself, balancing the drive for technical excellence with the need to deliver value to users quickly.
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.

What We’re Looking for (Minimum Qualifications)

• Extensive professional experience with C/C++ client development
• Strong foundational knowledge of networking protocols and systems
• Proven experience developing for Windows plus one or more additional platform
• Practical experience with VPN technologies and architectures

What Will Make You Stand Out (Preferred Qualifications)

• Hands-on experience with the Rust programming language
• Deep network-level experience building highly scalable systems

#LI-Hybrid #LI-JM1

Role 

We are looking for a Sr. Staff SWE to join our Zero Trust Exchange department.  This is a Hybrid role based onsite in San Jose three days a week, reporting to the Sr. Manager, Software Development Engineering.

As a key member of the engineering team, you will implement new ZCC tunnel features and modularize existing code to drive greater stability and performance across our platform.

What you’ll do (Role Expectations)

• Implement high-impact ZCC tunnel features that enhance connectivity and security for our global user base
• Lead the modularization of existing code into libraries to improve system maintainability and architectural stability
• Integrate memory-safe Rust language components where applicable to advance our commitment to robust and secure engineering

Who You Are (Success Profile)

• You act like an owner by taking full accountability for outcomes and navigating seamlessly between high-level strategy and hands-on execution.
• You are a dedicated problem-solver who is energized by complex challenges and finding solutions that deliver significant impact.
• You are customer-obsessed, anchoring every technical decision in solving real-world problems for both internal and external stakeholders.
• You are driven by innovation and a deep curiosity for how things work, always seeking more secure and scalable ways to build technology.
• You think at scale, connecting your day-to-day work to the larger mission and building solutions designed to support a high-growth, global organization.

What We’re Looking for (Minimum Qualifications)

• Advanced proficiency in C/C++ with experience building high-performance systems
• Tunneling and/or VPN experience
• Strong foundational knowledge of networking protocols and infrastructure
• Proven ability to design and write secure, scalable code in a professional environment

What Will Make You Stand Out (Preferred Qualifications)

• Professional experience developing with the Rust programming language
• Direct experience working within the VPN application domain or similar network security technologies

#LI-JM1 #LI-Hybrid

Role

We are looking for a seasoned Staff Software Development Engineer (UI/React.js) to join our team in San Jose, CA, reporting to the Director, Engineering in the Unified Experiences Platform department. As a key member of this team, you will be responsible for crafting high-quality libraries and tools while building high-performance, resilient UI that scales. You will serve as a technical leader, driving engineering excellence and ensuring our frontend architecture meets the highest standards of performance and maintainability.  

What you’ll do (Role Expectations)

• Craft high-quality libraries and tools for building frontend applications

• Develop and maintain high-performance resilient UI using ReactJS, TypeScript, and Tailwind

• Document and communicate technical specifications to ensure alignment with stakeholders

• Identify and resolve technical challenges by incorporating a robust test automation strategy

• Participate in code reviews and enforce coding standards to ensure a maintainable codebase

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 in JavaScript development with a focus on building and deploying ReactJS applications

• Expertise in creating lean, clear documentation, testing, and automation as integral components of the UI workflow

• Exceptional problem-solving skills and a proven ability to develop creative solutions to technical challenges

• Experience effectively conveying complex technical concepts to both technical and non-technical stakeholders

• Demonstrated track record of fostering engineering excellence and driving innovation

What Will Make You Stand Out (Preferred Qualifications)

• Demonstrated expertise in performance optimization and high-quality, detail-oriented code quality

• Proficiency in resolving performance bottlenecks to ensure fluid rendering in data-intensive interfaces

• Skilled in designing scalable, reusable front-end architectures that prioritize efficient component composition

#LI-Hybrid #LI-BH1

Role

We are looking for a Staff Data Center Operations Engineer to join our Cloud Ops Build and Infrastructure Team. This role is on-site in Fremont, CA, reporting directly to the Datacenter Deployment Manager. In this position, you will play a critical role in expanding Zscaler’s global cloud by utilizing automation to provision hardware that will be deployed to our data centers.

What you’ll do (Role Expectations)

• Provision new hardware and network devices in a staging environment that will be deployed globally to expand and supplement the Zscaler network
• Troubleshoot issues within our build environment and repair or replace server and network components and infrastructure
• Collaborate with the maintenance, network, install and platform engineering teams, execute and validate build activities, and engage and assist in optimizing processes

Who You Are (Success Profile)

• You are a positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution.
• 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 driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• USA Citizenship (required due to the nature of assigned customers)
• 5+ years experience working in Data Center or hardware build and development environments
• Experience with the LINUX/UNIX command-line, BIOS, OOB management (ILO, SAA, iDRAC, IPMI, etc)
• Deep understanding of various types of servers, network devices and configurations, and physical connectivity
• Ability to occasionally lift and carry 50 lbs

What Will Make You Stand Out (Preferred Qualifications)

• Basic scripting capabilities (e.g., BASH, Python, etc.)
• Familiarity with build automation technologies such as Ansible or PXE boot
• Familiarity with JIRA, Confluence, or other ticketing and documentation tools

#LI-KM9 #LI-Hybrid

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

Role 

We are looking for a Staff Information Systems Engineer based in San Jose (Hybrid, 3 days in office), reporting to the Manager, End User Engineering in the IT Digital Employee Experience department.

The Staff Information Systems Engineer (End-User Computing) defines and drives the strategy and architecture for Zscaler’s secure, cloud-first employee workspace across Windows, macOS, BYOD, and mobile (iOS & Android), ensuring devices are compliant, resilient, and scalable. The role connects End User Engineering(Digital Employee Experience) objectives to day-to-day execution by leading automation, self-service, and zero-touch deployment initiatives, integrating core platforms, and mentoring engineers to improve productivity, reduce risk, and modernize the end-user experience.

What you’ll do (Role Expectations)

• Define EUC strategy and future-state architecture across Windows, macOS, BYOD, and mobile (iOS/Android)
• Lead automation, self-service, and zero-touch provisioning initiatives
• Integrate and optimize core platforms (e.g., Workspace ONE/Intune/Jamf, Automox, Okta, Azure AD)
• Drive security, patching, and vulnerability remediation in partnership with Security
• Provide technical leadership (L4 escalation) and mentor engineers

Who You Are (Success Profile)

• 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. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution.
• You are data-driven. You use data and analytics to find the truth, measure what matters, and guide informed decisions. You value evidence over assumptions, replacing "I think" with "I know" to drive better outcomes.
• 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 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.

What We’re Looking for (Minimum Qualifications)

• 8+ years in endpoint engineering/systems architecture, including prior lead ownership of enterprise-scale initiatives in a global environment
• Expert-level administration of at least one endpoint management stack (Workspace ONE / Intune (MEM) / Jamf) plus strong experience with patching at scale (e.g., Automox)
• Advanced automation skills (PowerShell, Python, and/or shell) with proven delivery of API-driven integrations/workflows across IT/Security/HR systems
• Demonstrated capability to drive zero touch provisioning, endpoint security, vulnerability remediation, and audit readiness in partnership with Security (Zero Trust mindset)
• U.S. citizenship due to the nature of the customers assigned to this role

What Will Make You Stand Out (Preferred Qualifications)

• Hands-on experience with Workspace ONE and Automox for end-to-end endpoint lifecycle management and patch/vulnerability management at scale
• Exposure to AIOps, VDI(Desktop as Service), and advanced self-service/self-healing programs, with measurable outcomes (e.g., reduced ticket volume, faster MTTR, improved device compliance)
• Proven success in FedRAMP/regulated environments, including building repeatable audit evidence, control workflows, and strong partnerships with Security/GRC

#LI-YC2 #LI-Hybrid

Role

We are looking for a Staff Site Reliability Engineer to join our team. This role will report to the Senior Manager, Site Reliability Engineering and offers the flexibility of hybrid (3 days a week) out of San Jose, CA, or can be performed fully remote. 

As a key member of the Zero Trust Exchange team, you will be responsible for all aspects of the Zscaler production data center services, including servers, operating systems, storage, and supporting systems. You will be an instrumental part of the Site Reliability Engineering team, ensuring the availability, latency, performance, efficiency, and scalability of a cloud that processes tens of billions of transactions daily.

What you’ll do (Role Expectations)

• Own the reliability of a large-scale cloud service (Linux/BSD, bare metal, Kubernetes, custom load balancing, SD-WAN) by partnering with Engineering and Network teams to define requirements early, conduct operability reviews, and contribute code/design docs for platform resilience
• Develop and operate end-to-end observability (metrics/logs/traces, dashboards, alerting) and incident tooling to manage SLOs/error budgets, reduce noise, and improve system detection and diagnosis
• Participate in an on-call rotation to lead full-cycle incident response; perform deep cross-stack troubleshooting (OS, networking, distributed systems, packet captures, core dumps) to drive permanent software fixes and codify learnings into runbooks and tests
• Build and maintain everything-as-code for fleet and service lifecycle, driving provisioning, configuration, release automation, canary deployments, and complex rollout/rollback workflows
• Continuously improve platform hygiene through consistent OS/app upgrades, dependency/vulnerability patching, capacity and performance tuning, and strict CI/CD validation prior to production rollouts

Who You Are (Success Profile)

• 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. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• 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 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 think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.

What We’re Looking for (Minimum Qualifications)

• US Citizenship is required (due to the nature of assigned customers) and 5+ years industry experience in software engineering, infrastructure software, and/or platform engineering
• Proficiency in at least one programming language (such as Python, Bash, or Go) with demonstrated ability to write production-quality code (testing, code reviews, CI, maintainable design,scripting for diagnostics
• Strong Linux/Unix systems fundamentals (process/memory, filesystems, networking stack basics, debugging/perf troubleshooting) and solid understanding of networking protocols and components (e.g., HTTP, DNS, TCP/IP, ICMP, OSI model, subnetting, and load balancing/traffic concepts)
• Proven experience operating production services (including incident response, troubleshooting, reducing toil) and ability to participate in on-call rotations and support occasional after-hours or weekend deployments
• Managing BSD in production, with a focus on driving systemic fixes through platform engineering

What Will Make You Stand Out (Preferred Qualifications)

• Proven expertise in operating Kubernetes at scale
• Deep experience with the Prometheus/OpenTelemetry ecosystems, including instrumenting golden signals, defining SLOs, and performing alert tuning to ensure high-availability environments

#LI-KM9 #LI-Remote

Role

We are looking for a Staff Site Reliability Engineer (Automation) to join our Engineering team. This is a hybrid role based in San Jose, CA (3 days in office), reporting to the Director, Site Reliability Engineer. You will be a key driver in provisioning and deploying new infrastructure, focusing heavily on infrastructure automation. Your expertise will help manage how customer traffic is routed within the cloud and ensure seamless troubleshooting across hardware and automated systems.

What you’ll do (Role Expectations)

• Manage and maintain large-scale distributed systems using an infrastructure-as-code approach
• Develop and enhance tools to automate the deployment and management of large-scale services, focusing on reliable system architecture and maintaining high code quality
• Diagnose and resolve issues by editing code, adjusting infrastructure configurations, conducting performance and network analysis, and creating reusable tools
• Develop automation solutions and manage services efficiently using version-controlled infrastructure-as-code
• Support mission critical services and participate in on-call rotations as needed.

Who You Are (Success Profile)

• 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. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• 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 learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• 5+ years of relevant experience in site reliability or systems engineering
• Proficiency with Python or Ansible for automation tasks as well as proficiency with interacting with external APIs. 
• Demonstrated experience building and maintaining automation solutions
• Strong background in systems administration, specifically with Linux or other major operating systems
• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience

What Will Make You Stand Out (Preferred Qualifications)

• Hands-on experience with Systems Kickstart using PXE and monitoring and observability tools like Prometheus, Grafana, or Nagios. 

#LI-Hybrid #LI-KM9

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

Role 

We are looking for a Staff Software Development Engineer, Nanolog to join our team. This is a Hybrid (San Jose, 3 days in office) role, reporting to the Sr. Director, Software Engineering in the Zero Trust Exchange department. You will play a critical role in the evolution of the Zscaler Nanolog Service, driving the design and optimization of our proprietary time series database. By identifying system bottlenecks and implementing kernel-level enhancements, you will ensure our platform continues to deliver high-performance, scalable security solutions for our global customer base.

What you’ll do (Role Expectations)

• Developing and maintaining the Query layer using Java, Python or Go within a Kubernetes environment
• Designing, implementing, and deploying Kubernetes clusters that are scalable and reliable
• Developing monitoring systems and deploy services in the cloud
• Troubleshooting and resolving issues related to Kubernetes clusters, containers, and microservices
• Contributing to the overall reliability, scalability, and security of applications in cloud-native environments

Who You Are (Success Profile)

• 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 learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You are data-driven. You use data and analytics to find the truth, measure what matters, and guide informed decisions. You value evidence over assumptions, replacing "I think" with "I know" to drive better outcomes.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.
• 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)

• 5+ years of experience with Programming languages like Java, Python, or Golang
• 3+ years of experience in Kubernetes, Docker, and Kafka
• 2+ years of public cloud experience (AWS,GCP, or Azure)
• Expertise in designing, analyzing, and troubleshooting large-scale distributed systems
• Experience with Infrastructure as Code

What Will Make You Stand Out (Preferred Qualifications)

• Experience in continuous monitoring, vulnerability scanning, patching, and reporting
• Experience with multiple cloud providers (AWS, Azure) and both relational and non-relational databases for microservices

#LI-Hybrid #LI-YC2

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

Role

We are looking for a Senior Staff Software Development Engineer (Build Engineering) to join our team. This is a hybrid role based in San Jose, CA (3 days a week onsite), reporting to the Director, Software Development Engineering in the ZIA Core Engineering department. 

We are seeking a proactive Senior Staff Software Development Engineer (Build Engineering) to accelerate ZIA's transformation into a modernized, automated CI/CD environment. By taking ownership of critical self-service and automation initiatives, you will help scale a lean infrastructure team to meet high demands and directly elevate the daily productivity and developer experience for several hundred engineers.

What you’ll do (Role Expectations)

• Serve as the Tech Lead to drive all Build pipeline optimizations
• Implement innovative automations to improve developer productivity
• Build a solid framework for CI/CD promotional pipelines

Who You Are (Success Profile)

• 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. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• 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 are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.

What We’re Looking for (Minimum Qualifications)

• 8+ years of experience designing and deploying large-scale infrastructure in public clouds (e.g., AWS, GCP) with expert-level proficiency in IaC tools (e.g., Terraform, CloudFormation)
• Expert understanding of the end-to-end SDLC, Linux systems, kernel-level concepts, and complex software compilation and packaging processes
• Proven ability to programmatically build and scale CI/CD pipelines, utilizing strong programming expertise in Go and/or Python, along with tooling like Jenkins, GitLab, or Temporal
• Deep foundational knowledge required to onboard rapidly, understand complex ecosystems, and drive immediate, autonomous contributions

What Will Make You Stand Out (Preferred Qualifications)

• Familiarity with, or a strong desire to learn, the Bazel build system, as well as comfortability using AI-assisted coding tools (e.g., Windsurf, Claude) to accelerate delivery
• Strong hands-on experience on the FreeBSD platform
• Good experience in Hypervisor Platforms like Proxmox, ESXi
• Extensive hands-on experience with microservices architecture

#LI-Hybrid #LI-KM9

Role

We are looking for a Senior Staff Software Development Engineer (C/C++, TCP/IP, Datapath) to join our Zero Trust Exchange team. This is a hybrid role based onsite in San Jose three days a week reporting to the Sr. Manager, Software Development Engineering. As a Senior Staff Software Engineer, you will architect and build next generation products. By designing high-performance, ultra-low-latency distributed systems, you will directly drive our transformation in cloud-based security while ensuring a seamless, lightning-fast experience for a rapidly scaling global user base.

What you’ll do (Role Expectations)

• Build and scale the Data Plane for Zscaler's Workload Security product, directly shaping the future of cloud-based microsegmentation
• Develop and implement cutting-edge, eBPF-based distributed host firewalls across Linux and/or Windows environments
• Write highly efficient, system-level C/C++ code to optimize the network datapath and process packets at ultra-high speeds with zero perceived latency
• Navigate OS-level architecture in Linux, while stepping in to tackle Windows system development (non-driver) to ensure seamless cross-platform security
• Design distributed system components that maintain high responsiveness and ultra-low latency during high-load, enterprise-scale traffic

Who You Are (Success Profile)

• 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. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• 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 driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.
• You are a pragmatic builder. You are obsessed with creating, iterating, and shipping. You aren't afraid to roll up your sleeves and build the first version yourself, balancing the drive for technical excellence with the need to deliver value to users quickly.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.

What We’re Looking for (Minimum Qualifications)

• 8+ years of heavy, hands-on system-level coding experience in C or C++
• Proven track record working directly on networking product lines, firewalls, or deep datapath optimization
• Strong system-level understanding of Linux operating systems, with the willingness to work within Windows environments as needed
• In-depth understanding of the TCP/IP stack, performance parameters, and socket programming
• Experience delivering complete software lifecycles for highly distributed, high-volume enterprise applications

What Will Make You Stand Out (Preferred Qualifications)

• Direct, hands-on experience with eBPF and/or Windows Filter Platform (WFP)
• Experience in endpoint security, microsegmentation, or tackling similar scale
• A strong foundational understanding of cybersecurity principles that complements your core networking expertise

#LI-Hybrid #LI-KM9

About The Company

DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet.

About The Role

We are seeking an experienced and mission-driven Staff System Safety Engineer, Autonomy to lead the safety strategy and deployment readiness of our fully autonomous driving systems. In this role, you will define and implement the safety frameworks, release policies, and system-level engineering processes that enable safe and scalable unmanned operations. You will act as a technical leader in system safety, ensuring that our vehicles meet rigorous safety standards while advancing toward large-scale commercial deployment.

Responsibilities

• Own the safety evaluation and release strategy for unmanned autonomous driving operations, defining clear criteria for system release, degradation, and fallback under varying operating conditions.
• Design, implement, and champion the safety-related systems engineering framework, including safety requirements, system architecture, and Verification & Validation (V&V) plans.
• Conduct systematic assessments of unmanned operational workflows, emergency protocols, and supporting tools/platforms to ensure safety and operational completeness.
• Develop and institutionalize safety evaluation methodologies and metrics frameworks, translating safety goals into quantifiable, verifiable, and continuously tracked indicators.
• Serve as the technical lead for safety-related incident review and analysis during unmanned operations, driving continuous improvements in system design, test coverage, and operational procedures.
• Collaborate cross-functionally with Software, Product, Operations, and Safety teams to support leadership decisions regarding unmanned deployment, city expansion, and operational scaling.

Qualifications

• Bachelor’s or higher degree in Computer Science, Software Engineering, Systems Engineering, or a closely related technical field.
• 5+ years of industry experience in systems engineering, safety engineering, autonomous systems, or a directly related field.
• Strong systems thinking with the ability to decompose complex safety challenges and drive practical, scalable solutions.
• Demonstrated ability to collaborate across teams, influence stakeholders, and take ownership of safety outcomes.
• Experience working in a fast-paced environment with multiple parallel projects and ambiguous requirements.

Preferred Qualifications

• Professional experience in safety-critical autonomous vehicle deployment or large-scale robotic systems operations.
• Background in functional safety (ISO 26262, SOTIF) or safety assurance of unmanned systems.
• Hands-on experience with safety validation tools, simulation-based V&V, or operational safety monitoring platforms.
• Proven track record of defining release policies or safety readiness criteria for real-world autonomous systems.

The base salary range for this full-time position is $178,286-296,400 annually in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for California Residents which is available on https://v.didi.cn/AQnxlBa

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

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

#LI-VL1

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

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

What You’ll Do

We are looking for a passionate and experienced Staff Engineer, SRAM Circuit Design  to lead the development of next-generation SRAM solutions. In this position, you will drive end-to-end design of high-performance, low-power memory circuits used in cutting-edge semiconductor products. Your work will directly influence the power, performance, and area (PPA) efficiency of future computing, mobile, and AI platforms.

This role combines deep technical expertise with strategic team leadership, offering the opportunity to innovate at the forefront of semiconductor design.

• Design and develop SRAM memory arrays, including bit cells, sense amplifiers, decoders and control circuits for advanced process nodes (e.g., 2nm, 3nm and 5nm).
• Optimize SRAM designs for performance, power and area (PPA) and yield.
• Develop custom layouts and perform physical design verifications (e.g., DRC, LVS).
• Evaluate trade-offs between speed, power, and area to meet design targets.
• Develop and improve SRAM design methodologies, including automation scripts for design, simulation, and verification.
• Work with product and test engineers to develop test plans and support silicon bring-up.
• Mentor Junior engineers, providing guidance on SRAM design techniques and best practices.
• Perform extensive circuit simulations using tools like HSPICE, finesim or cadence Spectre to validate SRAM functionality and performance.
• Contribute to patents, technical papers, or industry conferences to advance SRAM technology.

What You Bring

• Bachelor's degree in electrical engineering with 10+ years of industry experience or master's degree in electrical engineering with 8+ years of experience strongly preferred. 
•  Prior experience in SRAM or memory circuit design, with a proven track record of delivering SRAM designs in advanced process nodes.
• Strong understanding of semiconductor devices physics and process technology (FinFET, GAA, SOI, etc.).
• Expertise in SRAM architecture, including bitcells, sense amplifiers, write drivers, and read/write control paths.
• Familiarity with timing analysis, power analysis, and design for manufacturability (DFM).
• Proficiency in circuit simulation, variation analysis, and design tools such as Spectre, HSPICE, Cadence Virtuoso, etc.
• Knowledge of scripting languages (e.g., Python, Perl, TCL) for automation of design tasks.
• Strong cross-functional collaboration and communication skills for working with design, layout, verification, and technology development teams.
• Experience with advanced technology nodes (e.g., 5nm, 3nm, or beyond).
• Knowledge of SRAM compiler development and experience with low-power SRAM design techniques (e.g., power gating, voltage scaling).
• Background in silicon debug and root-cause analysis.
• 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

What You’ll Do

We are looking for a passionate and experienced Staff Engineer, SRAM Layout to lead the development of next-generation SRAM solutions.

• Lead the development and execution of full-custom SRAM memory layout and sign-off verification flows (including compiler automation where applicable).
• Collaborate closely with circuit designers to translate schematics into efficient, high-performance physical layouts, own floor planning, placement, routing, and tape-out.
• Design and optimize SRAM layouts at the cell, array, and peripheral levels for area, speed, power, yield, and manufacturability.
• Perform and close all physical verification; DRC, LVS, ERC, antenna checks, custom memory rules, RC extraction, parasitic analysis, and signal integrity verification.
• Debug and resolve layout issues efficiently, including process-specific challenges in advanced nodes.
• Lead layout reviews, mentor junior engineers, and drive best practices, optimization techniques, design-rule compliance, and knowledge sharing.
• Develop automation scripts (Perl, Tcl, SKILL, etc.) to improve productivity.
• Address reliability concerns such as EM/IR drop, soft errors, and process variability. 
• Work cross-functionally with circuit, architecture, verification, and foundry/process teams to ensure first-pass silicon success and support product integration

What You Bring

• Bachelor's degree with 10+ years of experience in custom SRAM, memory compiler and IC physical layout design or master's degree 8+ years of experience strongly preferred. 
• 3 year’s experience in leadership of management role preferred.
• Extensive experience in SRAM layout design in advanced process nodes (e.g., 3nm, 2nm, or below).
• Demonstrated ability to lead, mentor, and manage a team of layout engineers. 
• Strong project management skills to handle complex schedules and cross-functional collaboration. 
• Strong proficiency with industry-standard EDA tools: 
• Candence Virtuoso (or Custom Compiler/IC Compiler) for custom/analog layout. 
• Physical verification tools for DRC/LVS/ERC flows. 
• Perform and close all physical verification; DRC, LVS, ERC, antenna checks, custom memory rules, RC extraction, parasitic analysis, and signal integrity verification. 
• Experience with RC extraction, parasitic reduction, and memory-specific verification. 
• Scripting/automation skills (Perl, Tcl, SKILL, etc.) are highly valued. 
• Proven ability to drive layout quality, constraints, and closure while collaborating in global, cross -functional teams. 
• Prior work on high-speed, low-power SRAM in leading-edge nodes preferred. 
• Mentoring or technical leadership experience preferred. 
• Understanding of SRAM architecture, timing, power analysis, and yield optimization preferred. 
• 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

Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future. 

We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.

At the Technology Enabling Development Lab (TED), our core development focus is the host interface firmware layer that sits in the intersection of system software and flash management firmware. This key host interface firmware technology drives Samsung’s breakthrough V-NAND technology and enables our customers to power performance-oriented, demanding, enterprise-class applications ranging from hyper-scale data centers, to big data processing, to software defined virtualized storage arrays and infrastructures.

We are looking for a dynamic, self-motivated, experienced engineer to architect and lead functional test coverage and test methodologies for NVMe SSDs.

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

What You’ll Do

• Manage Enterprise server infrastructure, execute Customer Qual tests and debug failures
• Execution of enterprise SSD qualifications in customer systems.
• Communicate with team lead to understand qualification processes and test plans. Report status of qualifications and manage customer expectations.
• Coordinate  with internal team and customer test engineers to execute qual plans as per schedule. Teams will be both local and remote.
• Triage test failures and do a first level FA. Design and execute experiments to root cause defects and verify fixes in coordination with development teams.
• Provide feedback to functional test teams on issues seen in customer quals to better functional test coverage.
• Contribute in Triaging customer field issues and provide support for timely resolution of customer issues.
• Identify automation opportunities and help Automation team to continue to improve and add to the existing framework.

What You Bring

• BS in Computer Science or related technical field with 10+ years of system level testing or development of enterprise servers and enterprise storage systems experience or MS with 8+ years preferred.
• Experience with at least storage protocol like NVMe/PCIe, SAS, SATA, Fibre Channel
• Familiar with one of protocol analyzers like LeCroy, SerialTek, or Xgig System or device level performance analysis
• Proficiency in server operating systems especially system debug tools such as system logs.
• Knowledge of enterprise storage/server system technologies.
• Expertise in storage test tools such as performance benchmarks, IO stress tools, protocol certifications, Test execution and bug management tools.
• Scripting experience such as in Perl, Shell or Python
• Experience with SSD or HDD testing
• NetApp/HPE/Dell/IBM System Experience
• 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 Technology Enabling Development Lab (TED) Our core development focus is the host interface firmware layer that sits in the intersection of system software and flash management firmware. This key host interface firmware technology drives Samsung’s breakthrough V-NAND technology and enables our customers to power performance-oriented, demanding, enterprise-class applications ranging from hyper-scale data centers, to big data processing, to software defined virtualized storage arrays and infrastructures.

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 black-box functional test coverage and test methodologies for NVMe SSD's.
• Debug, triage failures and work with FW Team to reproduce problems, design and run experiments.
• Analyze customer field issues and improve Functional test coverage where gaps are identified.
• Provide guidance to the Automation team and assist with test coverage integration into the existing framework.
• Must be able to work with local US and international customers and OEMs.

What You Bring

• Bachelors and 10+ yrs, Masters and 8+ yrs’ with focus in Computer Science, Computer Engineering, Electrical Engineering or equivalent.
• Strong programming experience, demonstrated proficiency in scripting languages such as Python, Bash, Linux shell scripts etc.
• Excellent verbal and written communication skills.
• Ability to work individually and in teams.
• Prior NVMe, PCIe knowledge or experience with one or more of the following storage-related technologies: NVM Express, PCI Express, NAND Flash/FTL .
• Knowledge of Enterprise storage/server systems, and proficiency in Linux.
• Expertise in storage test tools such as performance benchmarks, IO stress tools, protocol certifications, test execution and bug management tools.
• Relevant hands-on experience in embedded software or firmware development/testing, including storage devices or other embedded platforms.
• Familiarity and experience with agile development methodologies and practices, particularly in AI/ML-focused environments, is preferred.
• Hands-on experience with PCI protocol analyzers.
• Demonstrated ability to work as a team player, as part of a local and globally distributed 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

About The Team

At Archer’s Production Realization Lab, we build the electromechanical infrastructure that makes flight possible. From megawatt-scale dynamometers, complex electrical test stands to bespoke mechanical test equipment from concept to reality.

We are seeking a Staff Equipment Design Engineer to focus on the end-to-end design of specialized hardware for testing aircraft structural integrity and propulsion components. This isn't a "follow the manual" role. You’ll be designing mechanical test equipment from a blank sheet of paper to functional hardware, partnering closely with controls and electrical teams to push the boundaries of what’s possible.

What You’ll Do:

• End-to-End Ownership: Lead the development of aircraft subsystem test equipment from initial concept to customer acceptance
• Systems Integration & Collaboration: Partner cross-functionally with Electrical and Controls Engineering to define equipment architecture and design
• Technical Rigor & Analysis: Execute high-level engineering analyses, including DFMEA and worst-case tolerance stacks, to ensure robust mechanical, pneumatic, and hydraulic designs that meet safety and reliability standards
• Project Leadership & Strategy: Manage project scope, budgets, and aggressive timelines, serving as the primary technical point of contact for stakeholders while translating high-level functional requirements into actionable technical specifications
• Design Governance: Spearhead formal design reviews to ensure equipment exceeds performance expectations, and oversee the creation of comprehensive documentation packages, including training manuals and installation guides
• Technical Oversight & Commissioning: Provide expert mechanical support during equipment build and bring-up cycles, directing assembly technicians and troubleshooting complex hardware issues through to final site acceptance testing (SAT)

What You Need:

• Education: Bachelor’s degree in Mechanical, Mechatronics, or Aerospace Engineering (Master’s preferred) or equivalent
• Experience: 7+ years of progressive experience in specialized test equipment or complex machine design
• Technical: Expert-level proficiency in 3D CAD (SolidWorks, CATIA, or NX) and GD&T, with a proven track record of managing large, complex assemblies and generating high-fidelity manufacturing documentation
• Advanced Engineering Analysis: Demonstrated ability to apply first-principles engineering, including FEA, CFD, and statistical tolerance analysis, to solve sophisticated machine design and structural challenges
• Full Lifecycle Commissioning: Extensive experience leading the bring-up, debugging, and continuous improvement of automated equipment, including the integration of data acquisition (DAQ) systems and sensors
• Strategic Communication: Exceptional ability to distill complex technical concepts into clear, actionable insights for executive presentations, cross-functional design reviews, and comprehensive technical reports 
• Operational Agility: A self-starting mindset capable of maintaining rigorous organization and project momentum within a fast-paced, highly dynamic aerospace development environment
• Travel: Flexibility to travel up to 10% domestically and internationally to support vendor site visits, equipment installations, and final acceptance testing

Bonus Qualifications:

• Specialized Domain Expertise: Direct experience in the development of electric powertrain or component-level test equipment
• Advanced PLM Ecosystems: Deep proficiency in NX CAD within a Teamcenter environment
• Full-Scale Project Execution: Proven success managing the complete lifecycle of custom automation or test cells, from initial white-sheet concepting through to final site acceptance and factory integration
• Hands-on Technical Depth: Practical "wrench-heavy" experience in the physical assembly of complex mechanical and electrical systems, allowing for more intuitive and manufacturable design decisions (DFM/DFA)
• Modern Tool-stack: Advanced proficiency in collaborative project management and documentation tools such as Jira, Slack, and Google Workspace to drive team efficiency

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $172,800 - $216,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is committed to provide a safe workplace and a safe aircraft. This is a safety sensitive designated role. Employment in safety sensitive positions is contingent on successful passage of a background check and is subject to pre-employment and random drug screening.

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.

As an Astera Labs Physical Design Engineer (Place & Route) to play a crucial role in the planning, coordination, and execution supporting the design of Astera Labs' portfolio of connectivity ASICs used in the world's leading cloud service providers, server and network OEMs. This is a generalist physical design role requiring broad expertise across floorplanning, place-and-route, timing closure, and physical sign-off. You will work closely with designers, verification engineering, and engineering operations to drive blocks from RTL to GDSII. This role is fully on-site and in-person.

Basic Qualifications:

• Strong academic and technical background in electrical engineering. A Bachelor's degree in EE / Computer Engineering is required, and a Master's degree is preferred.
• 8+ years of experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications.
• Professional attitude with the ability to prioritize a dynamic list of multiple tasks, plan and prepare for customer meetings in advance, and work with minimal guidance and supervision.
• Entrepreneurial, open-minded behavior and can-do attitude. Think and act fast with the customer in mind!

Required Experience:

• Hands-on and thorough knowledge of synthesis, place and route, timing, extraction, EM-IR, formal verification (equivalence) and other backend tools and methodologies for technologies 7nm or less.
• Block level ownership from architecture to GDSII, driving multiple complex designs to production.
• Experience with Cadence and/or Synopsys physical design tools/flows.
• Familiarity and working knowledge of SystemVerilog/Verilog.
• Proven expertise in developing/maintaining timing constraints, timing signoff methodology, timing closure at the block or full-chip level.
• Experience in working with IP vendors for both RTL and hard-macro blocks.
• Good scripting skills in Tcl, Python, or Perl.

Nice to Have Experience Includes:

• Knowledge of design for test (DFT).
• Familiarity with ECO methodologies and tools.
• Knowledge of LVS/DRC closures.
• Experience with high-speed SERDES or Ethernet PHY design integration.
• Experience with clock tree synthesis optimization.
• Familiarity with PCIe, CXL, or Ethernet connectivity protocols.

What You’ll Do:

As a Staff AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:

• Design, implement, and evaluate novel machine learning and deep learning algorithms.
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment. 
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature.
• Conduct experiments to benchmark new techniques and evaluate model behavior.
• Develop tools and frameworks to support scalable and reproducible research and development.
• Communicate research findings to leadership in a concise, and convincing manner.
• Stay current with the latest developments in AI/ML and identify relevant innovations.
• Assist in transitioning research prototypes into production-ready systems.

What You Need:

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML.
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc.
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics.
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation.
• Is up to date with research literature and recent ML techniques and methodologies.

Bonus Qualifications:

• Experience with Reinforcement Learning, self-supervised training, and imitation learning is a plus.
• Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility is a plus.
• Experience developing production AI models is a plus.
• Publications at top conferences are a plus.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $190,000 - $240,000 Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

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.

What you’ll do:

• Vehicle Performance & Modeling: Build and refine vehicle performance models, perform vehicle-level trade study analyses, and define and validate vehicle performance requirements.
• Handling & Maneuvering: Evaluate flying and handling qualities requirements and determine maneuvering overhead to ensure optimal aircraft responsiveness and safety.
• Dynamics & Aeromechanics: Perform system identification and linearization of complex vehicle dynamics, and analyze aeromechanics and aeroelasticity to ensure vehicle stability.
• Flight Controls Support: Support flight control design for aircraft, including the development and implementation of notch filters, envelope definition etc
• Simulation & Hazard Analysis: Characterize the performance and capabilities of the aircraft. Conduct simulations to support Functional Hazard Analyses (FHAs) at a vehicle level.
• Data Analysis & Model Validation: Analyze flight test data, identify sources of model error, and update vehicle physics models accordingly.
• Systems Integration: Work with internal and external suppliers to integrate their systems into our comprehensive vehicle simulations, including vehicle dynamics, powertrain, actuation, sensors, and environmental modeling.

What you need:

• Education: BS in an Engineering discipline required. MS or PhD in an Engineering discipline highly desirable.
• Experience: 5+ years of aerospace vehicle performance and simulation experience at a full-vehicle level.
• Aerodynamics Expertise: Deep understanding of aerodynamics, specifically pertaining to helicopter rotors, electric VTOL and/or fixed-wing aircraft.
• Simulation Skills: Strong experience with multi-body dynamics simulations. High level of expertise with developing vehicle analysis tools and simulations in Python and MATLAB.
• Modeling Techniques: Expert in modeling and numerical optimization techniques with an understanding of these in the context of aerodynamic vehicles.
• Core Competencies: Strong technical, written, and verbal communication skills with the ability to thrive in a fast-paced design environment.

Bonus Qualifications:

• Experience modeling and analyzing eVTOL aircraft and a deep understanding of the role of various aircraft subsystems, including an electric powertrain.
• Rotorcraft experience
• 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 $152,100 - $202,100. 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.

About the Role

As part of the mission at Archer, we’re scaling production of our cutting-edge Electric Propulsion System (EPS) — the heart of our eVTOL aircraft. EPS comprises the Electric Motor, Inverter and Propeller assemblies and represents one of the most technically demanding, highly automated manufacturing systems in our factory.

We’re looking for a Powertrain Manufacturing Engineer who is experienced with electric motors and its integration into the higher level assembly and is passionate about bridging design and production — someone who thrives on creating scalable manufacturing systems, optimizing complex processes, and building world-class hardware from the ground up.

What You’ll Do:

• Contribute to the design and scaling of Archer’s Electric Propulsion System production line — from concept to high-rate manufacturing — including layout, automation strategy, tooling, and ramp-up planning.
• Collaborate cross-functionally with Product Design, Quality, Facilities, and Manufacturing teams to bring new electric motor and propeller systems into production.
• Design for Manufacturability (DFM) efforts to ensure products are built efficiently, safely, and at scale.
• Develop and execute comprehensive manufacturing build plans — defining part flow, line layout, tools, equipment, and the manufacturing bill of materials (MBOM).
• Specify and validate automation systems, tooling, and test equipment to support high-reliability production.
• Perform PFMEA (Process Failure Mode & Effects Analysis) to proactively identify and mitigate risk in the production system.
• Author and approve detailed work instructions for EPS assembly and installation.
• Support first article builds and production validation testing to ensure process stability and repeatability.
• Drive continuous improvement through Lean, Six Sigma, and structured problem-solving methodologies.

What You’ll Bring:

• Bachelor’s degree in Electrical, Mechanical, or Manufacturing Engineering (or equivalent).
• 7+ years of relevant experience in manufacturing engineering — preferably in EV, aerospace, or advanced hardware production.
• Experience building mechanical and electronic assemblies using sophisticated manufacturing tools and equipment.
• Hands-on experience with one of the following:
• Thrust Assembly (or EPS) classified as the completed unit, integrating the electric engine with the propeller and miscellaneous parts.
• Inverter production: sensitive electronic device assembly.
• Rotor/stator/engine production: heavy machinery and pressing operations.
• Knowledge of CAD, PLM, MES, and ERP systems.
• Strong foundation in GD&T and statistical process control (SPC).
• Demonstrated ability to use structured problem-solving tools such as DMAIC, 8D, or 5 Whys.
• Well-developed communication and documentation skills — able to translate complex technical challenges into clear actions.
• Self-starter attitude with the ability to thrive in a fast-paced, highly regulated environment.

Bonus Points:

• Experience with EV Drive Unit (DU) manufacturing
• Background in industrial automation (PLC, robotics, gantries).
• Familiarity with high-voltage systems, batteries, or electric motors.
• Knowledge of aircraft conformity or configuration management.
• Experience with NX and AutoCAD.
• Willingness to travel up to 10%.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $152,100 - $190,100. Actual compensation offered will be determined by factors such as 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.

Role Overview

As a Senior Staff Backend Engineer on the Platform Core team, you will build the services that power the platform foundation — the Entity Registry, change tracking, typed source system connectors, and the integration infrastructure that every application depends on. This role focuses on Go backend services, PostgreSQL performance, and building durable infrastructure that application teams program against through the Platform SDK.

Responsibilities

• Build and maintain core backend services (Go preferred)
• Build scalable systems that use a range of inter-process communication mechanisms (blackboard, direct, queues, etc.)
• Build common data models from diverse data sources
• Build APIs and SDKs that accelerate application development
• Design and optimize PostgreSQL schemas for performance and evolution
• Define and implement strongly typed reusable APIs (gRPC/protobuf or REST/OpenAPI)
• Develop entity CRUD, search, and traversal capabilities
• Implement change tracking and event propagation patterns (e.g., outbox pattern)
• Optimize database performance (indexing strategy, query planning, connection management)
• Implement middleware for authentication, authorization, rate limiting, and audit logging
• Contribute to observability, reliability, and CI/CD standards
• Collaborate with platform and application teams to validate services in production use cases
• Support AI-assisted workflows by exposing clean, structured APIs suitable for controlled automation
  
  

Required Qualifications

• 10+ years backend engineering experience
• Strong hands-on experience in Go (or equivalent backend experience with willingness to work in Go)
• Deep expertise with relational databases, ideally PostgreSQL, to include:
  • Schema design
  • Performance tuning
  • Indexing strategies
  • Query plan analysis
    
    
• Experience building and operating distributed systems
• Experience defining and implementing typed service contracts
• AWS or other cloud-native infrastructure experience
• Strong understanding of reliability patterns (idempotency, retries, consistency)
• Demonstrated experience defining and developing APIs and SDKs
  
  

Preferred Qualifications

• Experience building typed connectors or integration services against enterprise APIs (OData, REST, SCIM)
• Experience with JSONB modeling or complex relational traversal patterns
• Experience with gRPC and protobuf
• Experience with change data capture (CDC) or event streaming
• Experience implementing policy-as-code authorization (Cerbos, OPA, or similar)
• Kubernetes (EKS) and infrastructure-as-code (Terraform) familiarity
• Experience building services consumed by LLM pipelines or AI-assisted workflows

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $182,500 - $220,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

What you’ll do:

• Lead the end-to-end design of high voltage battery pack components across commercial and defense aircraft programs.
• Collaborate with key stakeholders including CAE engineers, quality, testing, supply chain, and manufacturing.
• Provide hands-on prototyping, building, and root cause support throughout the design cycle.
• Work closely with integration and certification teams to ensure the product meets all FAA certification requirements.
• Push conventional battery design boundaries to meet stringent aerospace application requirements.
• Establish design standards and best practices for battery design at Archer.
• Mentor early career battery design engineers.
• Develop the battery hardware technology roadmap for future applications.

What you need:

• Bachelor’s degree in Mechanical, Aerospace Engineering, or a related field.
• 10+ years of mechanical design experience, preferably in high voltage battery design for automotive or aerospace.
• Strong engineering fundamentals (structural design, materials, heat transfer, fluids, etc.).
• Solid background in CAD (NX preferred), tolerance stack analysis, and 2D drafting with GD&T.
• Experience developing parts with various manufacturing processes in both prototype and mass production settings.
• Ability to use simplified tools, calculations, and CAE to quickly drive development.
• Hands-on prototype and build experience.
• Exceptional communication skills.

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 $207,800 - $259,600. 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.

Our team is seeking a talented and versatile Full Stack Software Engineer responsible for building and maintaining essential tools and automations which allow our diverse aerospace engineering teams to be efficient while remaining compliant to external and internal process standards. You'll be working directly with data used to define, test, configure aviation systems and aircraft flight testing, leveraging DevOps best practices.

What You'll Do

Develop Full-Stack Web Applications and Integration Tools: Design, build, and maintain modern Typescript, Javascript and Go applications to assist with testing, data capture, and config management of our aircraft. This work will span web applications, web APIs and desktop environments, initially focused on the management of airplane system test lab configurations.Identify Gaps in Processes and Workflows: Use existing vehicle development knowledge and previous experience to identify new tooling and application needs, as well as optimize or refactor existing toolchains and integrations

• Build for Reliability: Ensure the infrastructure and tooling you create are scalable, reliable, and easy to maintain. Document your work and champion best practices across the engineering organization.
• Collaborate Cross-Functionally: Work closely with hardware engineers, embedded software developers, and integration / lab teams to understand their requirements and build the tools they need to succeed.

Required Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
• 5+ years of professional software development experience, with a strong emphasis on tooling, automation, or DevOps.
• 2+ years of software tool development experience in the Aerospace industry
• Experience with front-end development (e.g. using Typescript / React)
• Experience with back-end development (e.g. using Node Express or Gin)
• Strong ability with relational databases and schema design (e.g using postgres)
• A strong foundation in software development best practices, including version control (Git), code reviews, and testing.

Preferred Qualifications

• Familiarity with GraphQL and GraphQL backend engines (bonus for Hasura)
• Experience with modern React/TypeScript frontend libraries (e.g. Flowbite-React, PrimeReact )
• Proficient in writing and maintaining automated tests using frameworks (e.g. Jest, React Testing Library)
• Demonstrable experience designing, building, and maintaining Tailwind CSS Web Interfaces
• Experience building RESTful APIs
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Knowledge of hardware communication standards like CAN bus, ARINC-429, or RS-422.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $173,000 - $216,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

We are an equal-opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws.

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.