Hardware Engineer for Innovative Defense Technology

About GridwareGridware is an innovative technology firm headquartered in San Francisco, committed to safeguarding and enhancing the reliability of the electrical grid. We have pioneered a revolutionary approach to grid management known as Active Grid Response (AGR), which meticulously monitors the electrical, physical, and environmental factors influencing grid safety and reliability. Our state-of-the-art AGR platform leverages high-precision sensors to identify potential issues at an early stage, facilitating proactive maintenance and fault resolution. This holistic strategy is designed to bolster safety, minimize outages, and ensure optimal grid performance. We are proud to be supported by prominent climate-tech and Silicon Valley investors. To learn more, visit www.Gridware.io.About the RoleWe are seeking a skilled Senior Hardware Reliability Engineer to lead reliability testing, analysis, and lifetime modeling of various outdoor electronic assemblies. This pivotal role will concentrate on the electronic components of our products, collaborating closely with our mechanical-focused Reliability Engineer and engaging with the broader hardware and cross-functional teams.

About Multiply LabsMultiply Labs is an innovative startup located in San Francisco, California, backed by renowned investors in technology and life sciences such as Casdin Capital, Lux Capital, and Y Combinator. Our goal is to develop the world's leading robotic systems and utilize them to make groundbreaking life-saving therapies accessible to everyone.We are transforming the manufacturing process of cell therapies through the creation of advanced robotic systems that automate and scale the production of these crucial treatments. Our cutting-edge robots enable biopharma companies to produce cell therapies efficiently without overhauling their existing processes, thus minimizing regulatory hurdles and risks. Unlike traditional methods that are labor-intensive and costly (often exceeding $1M per patient), our robotic solutions aim to make these vital treatments more affordable and reachable for those who need them.To discover more and view our robots in action, please visit www.multiplylabs.com and follow us on LinkedIn.Position OverviewWe are looking for a dedicated Hardware Reliability Engineer to become an essential part of Multiply Labs’ Reliability Engineering team. As a founding member, you will collaborate closely with the Hardware Product and Systems Integration teams to enhance our designs throughout the entire development lifecycle, from initial prototypes to fully deployed GMP production systems. Your contributions will directly support the delivery of life-saving therapies by ensuring our robots operate seamlessly within the high-stakes biotech environment.

Who We AreSamsara (NYSE: IOT) is a trailblazer in the Connected Operations™ Cloud, a platform that empowers organizations reliant on physical operations to leverage Internet of Things (IoT) data for actionable insights and operational improvements. Our mission at Samsara is to enhance the safety, efficiency, and sustainability of the physical operations that underpin the global economy. Covering over 40% of global GDP, these sectors include agriculture, construction, field services, transportation, and manufacturing. We are dedicated to digitally transforming their operations on a large scale.Joining Samsara means you'll be part of a team that's defining the future of physical operations. You will contribute to a dynamic range of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As a company that has recently gone public, you will enjoy the autonomy and support to make a significant impact as we build for the future.About the Role:Samsara's Hardware Reliability team plays a crucial role in ensuring an outstanding customer experience through reliable hardware. As a Senior Hardware Reliability Engineer, you will establish quality processes that uphold the high standards of Samsara's hardware.In this role, you will implement and execute comprehensive reliability strategies that cover the entire product development lifecycle, from concept to warranty repair. You will rapidly gather and analyze test, field performance, and manufacturing data to drive necessary actions both internally and with our suppliers, ensuring the production of top-quality products. Collaboration with hardware, firmware, and operations teams is a fundamental aspect of this role.This is a hybrid position open to candidates residing in the US, requiring you to visit our office in San Francisco three times a week.You Should Apply If:You want to impact the industries that run our world: Your efforts will lead to tangible real-world benefits—helping to maintain essential services and support vital industries.

Join Our Innovative TeamAt OpenAI, our Hardware organization is pioneering cutting-edge silicon and system-level solutions tailored to meet the demands of advanced AI workloads. We pride ourselves on developing next-generation AI-native silicon while collaborating with software and research partners to create hardware that is intricately integrated with AI models. Our mission includes delivering high-performance silicon for OpenAI’s supercomputing infrastructure and designing custom tools and methodologies that accelerate innovations, specifically optimized for AI applications.Your Role in Our MissionWe are on the lookout for a dynamic and experienced Reliability/DFX Engineer who possesses extensive knowledge in scaling machine learning systems. As an integral member of our hardware team, you will collaborate with chip design, platform design, hardware health, and the wider industry ecosystem to architect, implement, and deploy dependable next-generation AI accelerator systems. You will take a holistic approach to evaluate system and chip architecture, pinpointing high-ROI opportunities that enhance reliability and availability throughout the stack while translating these insights into actionable strategies and silicon features.Key Responsibilities:Lead the architecture, implementation, and execution of DFX strategies in silicon from concept to high-volume deployment, proposing impactful features to boost reliability and fault tolerance. Your focus will encompass design for testability, reliability, availability, and serviceability of high-performance AI hardware.Develop system-level reliability models based on empirical data to guide the organization’s DFX and reliability strategy, necessitating a deep understanding of chip and system architecture, design, implementation, and component-level reliability.Collaborate with chip and platform architecture/design teams to explore and implement DFX features, including the specification and integration of digital/mixed-signal IP, firmware/system software, and DFX methodologies.Work alongside hardware health and platform design teams to enhance reliability and fault tolerance in New Product Introduction (NPI) and High-Volume Manufacturing (HVM), driving continuous, data-driven improvements across the stack through optimized operating conditions and data analysis.Act as the DFX/reliability advocate, aligning the broader industry ecosystem with OpenAI’s strategic objectives and roadmap.Qualifications:Bachelor’s degree in Engineering or related field with 15+ years of experience, or a Master’s degree with 10+ years of relevant experience.Proven expertise in DFX methodologies and reliability engineering for high-performance hardware.Strong analytical and problem-solving skills, with a track record of improving system reliability and performance.Excellent collaboration and communication abilities, capable of working effectively in a cross-functional team environment.Familiarity with AI workloads and associated hardware requirements is highly desirable.

Role Overview Block, Inc. is looking for a Reliability Program Manager focused on hardware solutions in the Bay Area, CA. This role guides efforts to improve the reliability and performance of hardware products. The position works closely with teams across the company to spot and address risks, helping Block deliver products that meet high standards for quality and durability.

Who We AreSamsara (NYSE: IOT) is at the forefront of the Connected Operations™ Cloud, a transformative platform that empowers businesses reliant on physical operations to tap into Internet of Things (IoT) data. Our aim is to provide actionable insights that enhance safety, efficiency, and sustainability across vital industries such as agriculture, construction, transportation, and manufacturing. By digitally transforming these sectors, which represent over 40% of global GDP, we are contributing to a more efficient and sustainable economy.Joining Samsara means being part of a team that is defining the future of physical operations. You will engage in cutting-edge solutions, including Video-Based Safety, Vehicle Telematics, and Equipment Monitoring, within a supportive environment that fosters innovation and long-term impact.About the Role:We are seeking a Senior Hardware Systems Engineer to enhance our rapidly expanding product line. Your primary responsibility will involve leading the electrical engineering components of product architecture and design, grounded in comprehensive feasibility, design, and cost analyses. This encompasses critical aspects such as component selection, thermal management, and antenna design. You will leverage extensive telemetry and direct customer insights to inform and refine our product designs. Collaborating closely with Product Management, Firmware, and Hardware leadership, you will influence key engineering decisions while mentoring fellow engineers. The role will also require interaction with our US and Taiwan EE teams, as well as our Supply Chain and laboratory resources, to achieve our project goals effectively.This role is hybrid, requiring you to be in our San Francisco, CA office three days a week, with the flexibility to work remotely for two days. Travel may be necessary up to 25% of the time, and proximity to an international airport is essential. We offer relocation assistance for this position and welcome candidates from across the U.S. who are willing to relocate to the Bay Area.

About Our TeamAt OpenAI, our Hardware organization is at the forefront of developing cutting-edge silicon and system-level solutions tailored for the specific demands of advanced AI workloads. Our team is dedicated to creating the next generation of AI-native silicon, collaborating closely with software and research partners to co-design hardware that is seamlessly integrated with AI models. We not only deliver production-grade silicon for OpenAI’s supercomputing infrastructure but also innovate custom design tools and methodologies that drive acceleration and optimization specific to AI.About This RoleAs a member of our hardware optimization and co-design team, you will play a crucial role in co-designing future hardware from various vendors, focusing on programmability and high performance. You will partner with our kernel, compiler, and machine learning engineers to comprehend their distinct requirements concerning ML techniques, algorithms, numerical approximations, programming expressivity, and compiler optimizations. Your advocacy for these constraints will help shape and influence future hardware architectures aimed at efficient training and inference for our models. If you are passionate about efficiently distributing large language models across devices, optimizing system-wide networking bottlenecks, and customizing the compute pipeline and memory hierarchy of hardware platforms while simulating workloads at various abstraction levels, then this opportunity is perfect for you!This position is based in San Francisco, CA, utilizing a hybrid work model of three days in the office each week, with relocation assistance available for new hires.Key Responsibilities:Collaborate on the co-design of future hardware focusing on programmability and performance with hardware vendors.Support hardware vendors in developing optimal kernels and integrating support within our compiler.Generate performance estimates for critical kernels across diverse hardware configurations, influencing decisions regarding compute core and memory hierarchy features.Create system performance models at various abstraction levels and conduct analyses to guide decisions on scaling and front-end networking.Engage with machine learning engineers, kernel engineers, and compiler developers to align on high-performance accelerator needs.Facilitate communication and coordination with internal and external partners.Shape the roadmap for hardware partners to optimize their products for our AI capabilities.

About Our TeamAt OpenAI, our Hardware team is at the forefront of developing cutting-edge silicon and comprehensive system solutions tailored to the specific needs of advanced AI workloads. We pride ourselves on crafting the next generation of AI-native silicon, collaborating closely with software engineers and research teams to ensure our hardware is seamlessly integrated with AI models. Our mission extends beyond creating production-grade silicon for OpenAI’s supercomputing infrastructure; we also innovate custom design tools and methodologies that spark innovation and enable hardware specifically optimized for AI.About the RoleAs a Software Engineer on the Scaling team, you will play a pivotal role in designing and optimizing the foundational stack that manages computation and data flow across OpenAI’s supercomputing clusters. Your responsibilities will include crafting high-performance runtimes, developing custom kernels, enhancing compiler infrastructure, and building scalable simulation systems to validate and optimize distributed training workloads.This position requires you to work at the intersection of systems programming, machine learning infrastructure, and high-performance computing, where you will create intuitive developer APIs alongside highly efficient runtime systems. You will balance usability and introspection with the imperative for stability and performance across our dynamic hardware landscape.This role is based in San Francisco, CA, featuring a hybrid work model (three days in-office per week). Relocation assistance is provided.Key Responsibilities:Design and implement APIs and runtime components to efficiently manage computation and data movement for diverse ML workloads.Enhance compiler infrastructure by developing optimizations and compiler passes to accommodate evolving hardware advancements.Engineer and refine compute and data kernels, ensuring precision, high performance, and compatibility across simulation and production settings.Analyze and optimize system bottlenecks, focusing on I/O, memory hierarchy, and interconnects at both local and distributed scales.Create simulation infrastructure to validate runtime behaviors, test modifications to the training stack, and support the early development of hardware and systems.Quickly deploy updates to runtime and compiler across new supercomputing builds in close collaboration with hardware and research teams.Work across a varied tech stack, primarily utilizing Rust and Python, with a chance to influence architectural decisions within the training framework.

Company OverviewEcho Neurotechnologies is a pioneering startup specializing in Brain-Computer Interface (BCI) technology. We are committed to pushing the boundaries of innovation through state-of-the-art hardware engineering and artificial intelligence solutions. Our goal is to create transformative technologies that empower individuals with disabilities, enhancing their autonomy and overall quality of life.Team CultureBecome a part of our dedicated team of passionate and skilled professionals. In our dynamic early-stage environment, you will have the chance to influence key decisions that will have lasting impacts. We prioritize continuous learning and development, promoting cross-functional collaboration where your input is essential to our collective success.Role OverviewWe are on the lookout for a seasoned Senior Hardware Test Engineer to validate our custom Echo hardware systems. In this role, you will lead the testing processes for our specialized hardware devices and subsystems while developing and implementing custom test systems.Primary ResponsibilitiesConduct in-house design verification testsCoordinate testing with external laboratoriesCollaborate with the engineering team to create tailored testing solutionsWork alongside design engineers to characterize unique hardwarePrepare tests for vendor transfer

Tacit is an early-stage deep-tech startup in San Francisco, backed by General Catalyst, Khosla Ventures, and Greylock Partners. The team draws on backgrounds from Stanford, BrainGate, Oculus, and Tesla. The company is developing new hardware to advance human-computer interaction, with project details still confidential. The focus is on solving complex engineering challenges that could change how people use technology. Role overview The Head of Hardware will lead Tacit's transition from research prototypes to a consumer-ready product. This senior leader shapes the technical architecture and builds the team responsible for delivering reliable hardware at scale. The position works directly with company leadership, driving hardware strategy, resource planning, and execution. The main objective is to establish a high-performing hardware group that consistently ships quality consumer products. What you will do Lead the move from research prototypes to a production-ready consumer hardware platform. Own the hardware roadmap and system architecture, overseeing progress from early builds to mass production. Design the hardware organization, define team roles, and set hiring priorities in collaboration with leadership. Establish and uphold standards for product readiness, with attention to quality, reliability, manufacturability, and testing. Shape and execute the hardware hiring strategy, including role definitions, sequencing, and technical requirements. Build and lead a multidisciplinary hardware team spanning electrical, mechanical, RF, firmware, testing, and manufacturing. Encourage open technical discussion, clear ownership, and a product-driven approach within the team. Make key system-level trade-offs across performance, power, cost, reliability, and timelines, balancing immediate needs and long-term growth. Enhance design quality through DFM/DFA, manufacturing test planning, and strong quality processes. Collaborate closely with product, industrial design, and software/ML teams to translate product requirements into hardware specifications.

Why Join Flux?At Flux, we are redefining hardware development by introducing the pioneering AI Hardware Engineer. Our mission is to democratize cutting-edge hardware creation and transform the global landscape of electronics design and manufacturing.Your RoleWe are seeking a seasoned leader in electrical engineering to spearhead our hardware design practices and principles. You will play a crucial role in enhancing our ECAD tool's capabilities and ensuring the integrity of our AI Hardware Engineer's knowledge and design strategies. Collaborating closely with product leadership, you will help shape and prioritize the advancement of AI capabilities, evaluation frameworks, and scalable strategies that empower our community to execute successful PCB projects. This position offers the opportunity to expand our Hardware Design function and team significantly.This is a high-impact, multidisciplinary role ideal for someone with a proven track record of developing complex electronics for mass production, such as smartphones, wearables, high-performance computing devices, networking equipment, and robotics, who enjoys translating real-world engineering challenges into innovative tools and AI functionalities.Key ResponsibilitiesLead ECAD Feature Development – Define product requirements for essential ECAD functionalities including placement/routing, constraints management, stackup, impedance control, DRC/DFM, manufacturing outputs, and prototyping workflows. Collaborate on specifications, validate through internal testing, beta programs, and comprehensive user feedback.Collaborate with AI/ML Teams – Educate the world’s first AI hardware engineer on effective product design practices. Establish best practices, guidelines, and evaluation frameworks; curate datasets; assess AI-generated designs; and cultivate the AI expertise to enable successful hardware production from the first run, avoiding common pitfalls.Enhance the Hardware Design Team – Start as an active manager overseeing two team members, progressively refining the team's responsibilities and scaling to create reference designs, demos, product specifications, training materials, and feedback mechanisms.Prototype Real Hardware – Oversee rapid prototyping (from schematic to realization) to showcase product/AI capabilities. Instrument designs for signal integrity, power integrity, and thermal validation; utilize data to close the feedback loop.Enhance User Experience – Take ownership of and improve current user experience metrics, feedback loops, and user engagement processes to inform our iterative product development.

Become a vital part of the engineering teams that responsibly bring OpenAI’s transformative technologies to the world!At OpenAI, our Applied Engineering team collaborates across research, engineering, product management, and design to deliver AI solutions to both consumers and businesses. We are committed to learning from our deployments, maximizing the benefits of AI, and ensuring that this powerful technology is utilized both safely and ethically. Our priority is safety over unchecked growth.About the RoleAs OpenAI continues to expand, we are seeking seasoned engineers who excel in problem-solving to enhance the scalability of our systems. Our achievements hinge on our ability to rapidly iterate on product development while ensuring optimal performance and reliability. You will thrive in a collaborative, fast-paced environment, playing a key role in delivering our technology to millions globally, with a focus on safety and reliability. As a reliability engineer, you will lead efforts to maintain and improve the stability, scalability, and performance of our dynamic infrastructure. You will collaborate closely with cross-functional teams, including software engineers, product managers, and data scientists, to construct and sustain robust systems capable of accommodating our growing user base and workload.Your Responsibilities Include:Designing and implementing solutions to scale our infrastructure to meet increasing demands effectively.Developing and maintaining load, chaos, and synthetic testing software that enhances the reliability of systems designed by development teams.Creating and managing automation tools to streamline repetitive tasks and bolster system reliability.Overseeing the lifecycle management platform for CPU/storage, GPU, and network resources to foster efficiency and support dynamic optimization.Implementing fault-tolerant and resilient design patterns to minimize service interruptions.Establishing and maintaining service level objectives (SLOs) and service level indicators (SLIs) to ensure system reliability.Collaborating with researchers, engineers, product managers, and designers to introduce new features and research advancements to the world.Participating in an on-call rotation to address critical incidents and ensure 24/7 system availability.Your Impact: Your contributions will be essential in guaranteeing the reliability and performance of our platforms as we continue to scale our operations.

Physical Intelligence seeks a Hardware Systems Engineering Intern to support its core hardware team in San Francisco. This group maintains the infrastructure behind a robotic fleet that performs real-world tasks, from washing dishes for hours to brewing coffee in both warehouse and unpredictable outdoor settings. Role overview The hardware team operates at the intersection of mechanical, electrical, and systems engineering. Team members work closely with software, controls, and manufacturing engineers to transition robots from prototypes into production. Daily work includes developing and running test protocols, troubleshooting failures in the field, and building systems that ensure reliability in a range of environments. What you will do Cross-disciplinary problem solving: Address challenges that combine mechanical, electrical, and control systems. Analyze ambiguous issues, identify root causes, and design practical fixes. Reliability analysis: Collect data and conduct reliability studies to spot failure trends, monitor system uptime, and contribute to investigations using methods such as RCCA and FMEA. Failure tracking: Build failure pareto charts to highlight key failure causes and timing. Work with engineers across disciplines to monitor system performance throughout different builds and deployments. Tooling and process design: Design and construct tools, jigs, and processes that improve speed, safety, and reliability for the robot fleet. Test protocols: Execute and refine testing procedures for new hardware, field repairs, and post-service checks. Build and production support: Assist with hardware builds, inventory tracking, materials handling, and vendor coordination. Configuration and serialization: Help implement configuration, serialization, and test tracking systems to streamline service and replacement processes. Requirements Pursuing or completed a Bachelor's degree in Mechanical or Mechatronics Engineering.

About the TeamAt OpenAI, our Hardware organization is at the forefront of developing silicon and system-level solutions tailored specifically for the demanding requirements of advanced AI workloads. Our team is dedicated to pioneering the next generation of AI-native silicon, collaborating intimately with software and research partners to design hardware that is tightly integrated with AI models. Beyond delivering high-quality silicon for OpenAI's supercomputing infrastructure, we innovate by creating custom design tools and methodologies that propel hardware solutions optimized for AI.About the RoleIn this pivotal role, you will enhance the tooling ecosystem that hardware engineers depend on daily, encompassing hardware compilers, IR transformations, simulation, debugging, and automation infrastructure. Your contributions will bridge software engineering, compiler concepts, and practical hardware workflows, significantly influencing the speed and efficiency of designing next-generation AI systems. Collaborating closely with architects, RTL designers, and verification engineers, you will translate real engineering challenges into sustainable, scalable tooling solutions.Key ResponsibilitiesDevelop and enhance software tools to increase the efficiency of hardware teams: compilation, IR transformations, RTL generation, simulation, debugging, and automation.Extend and integrate hardware compiler stacks (including frontends, IR passes, lowering, scheduling, and code generation to Verilog/SystemVerilog) and connect these with actual design workflows.Enhance developer experience and system reliability: focus on reproducible builds, improved error messaging, quicker iteration cycles, and robust CI and regression infrastructures.Collaborate with designers and verification engineers to transform identified pain points into effective solutions.Engage with RTL as required: analyze and interpret Verilog/SystemVerilog to troubleshoot issues, validate tool outputs, and enhance debuggability.Be prepared to delve deeply into the stack when necessary, including gate-level perspectives, synthesis outcomes, and implementation artifacts.Support PPA optimization efforts by creating analysis and automation around area, timing, and power trade-offs, while improving tools that influence these aspects.Ideal Candidate ProfileProven experience in developing and maintaining software (through projects, internships, research, open-source contributions, or similar).

The RoleRocky Talkie is on the lookout for an innovative and entrepreneurial engineering leader to spearhead our hardware engineering initiatives. In this impactful position, you will be at the forefront of designing, developing, and manufacturing products that align with our mission to enhance safety in adventure sports while revitalizing the outdated two-way radio industry. Your hands-on leadership will guide our team through the complete product development lifecycle, ensuring that we maintain our commitment to simplicity, durability, and activity-centric design principles.As a pivotal member of our leadership team, you will collaborate closely with engineering, product, and development partners to translate our product vision into reality. We are in search of a passionate and experienced individual with a strong track record in leading consumer electronics projects from initial concept to mass production. If you thrive in a small team environment and enjoy getting involved in technical work, this role is an excellent fit for you. Rocky Talkie is poised for growth, and we celebrate and reward excellence.Location: 4 days in person (SF) per week

Join Checkr as a Software Engineer focusing on Reliability, where your contributions will enhance our platform's robustness and performance. You will be part of a dynamic team dedicated to building and scaling systems that support our growth and ensure outstanding service delivery to our clients.

Join Our Innovative Team at Atomic SemiAt Atomic Semi, we are pioneering the future of semiconductor manufacturing with our state-of-the-art, compact fabrication facilities.Our approach leverages current technologies and innovative simplifications, enabling us to create our own tools for rapid iteration and enhancement.We are assembling a select group of exceptional engineers—mechanical, electrical, hardware, computer, and process specialists—who will take ownership of the entire stack from atomic structures to architectural designs. Our optimistic team is dedicated to advancing technology boundaries.We believe that smaller, faster, and self-built solutions are the key to success.Our facility is equipped with 3D printers, a variety of microscopes, e-beam writers, and general fabrication equipment. If there’s something we need, we’ll innovate to create it.Founded by Sam Zeloof and Jim Keller, our team combines practical chip-making experience with decades of industry leadership.Role OverviewAs an Electronic Hardware Design Engineer, you will collaborate with a talented team to design cutting-edge lithography systems, deposition tools, vacuum chambers, and high-precision motion control systems. You will tackle challenges, prototype innovative solutions, and bring your designs to production, contributing to transformative advancements in integrated circuit manufacturing.Your projects may involve high-voltage low-noise converters, motor drivers, attofarad sensors, and millikelvin temperature controllers—all in a single initiative.

Join Cloudflare as a Database Reliability Engineer, where you will play a crucial role in ensuring the reliability and performance of our database systems. You will work collaboratively with our engineering teams to develop, implement, and maintain robust database solutions that support our mission of making the internet safer and faster.Your responsibilities will include monitoring database performance, troubleshooting issues, and optimizing queries to enhance system efficiency. If you are passionate about databases and eager to make an impact in a dynamic environment, we encourage you to apply!

Why Join Flux?At Flux, we are revolutionizing hardware development by creating the world's first AI Hardware Engineer. Our mission is to democratize access to cutting-edge hardware technology and transform how electronics are conceived and manufactured globally.Role OverviewAs a Software Engineer focusing on Agentic Development, you will be integral in building the core intelligence of our platform. You will develop innovative workflows, reasoning graphs, and seamless integrations that empower both novice users to transform ideas into manufacturable hardware and experienced electrical engineers to learn from past production challenges.Your role will uniquely merge web engineering with AI system design, utilizing TypeScript and LangGraph to embed smart functionalities directly into our design environment.Key ResponsibilitiesCraft agentic reasoning capabilities using TypeScript (LangGraph).Incorporate AI functionalities into the Flux web application (React/Redux) and Chat UI.Implement telemetry and logging systems to monitor runtime health, performance, and cost efficiency.Collaborate with product and electrical engineers to enhance intelligent ECAD workflows.Design and evaluate experiments; convert insights into actionable engineering decisions.Contribute to the development of agentic patterns, conventions, and best practices across the engineering organization.