software engineer Jobs in San Francisco United States

software engineer

platform engineer Jobs in San Francisco United States

platform engineer

systems engineer

DoorDash

<div><h1 class="jobSectionHeader">About the Team</h1>

DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We're ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We're focused on how to do the next 10B even better.
<h1 class="jobSectionHeader">
About the Role</h1>

We are seeking a highly motivated Systems Engineer to help shape the architecture and integration of our next-generation delivery platforms. In this role, you will define system requirements, interfaces, and verification strategies that connect diverse hardware, software, and operational teams into a cohesive, safe, and reliable system. You will translate high-level business and mission objectives into clear engineering specifications, ensuring our delivery platform meets performance, safety, and regulatory goals.

The ideal candidate brings a strong background in complex system development, with experience in aerospace, autonomous vehicles, or other safety-critical domains, and thrives in a collaborative, fast-paced environment where clear thinking and systems-level perspective drive success.
<h1 class="jobSectionHeader">
You're excited about this opportunity because you will&hellip;</h1>
<ul><li>Define system requirements and interfaces for delivery platforms, translating business and operational goals into verifiable technical requirements</li>
<li>Develop and maintain system architecture and interface control documents that allocate functionality, performance, and safety constraints across subsystems and components.</li>
<li>Lead trade studies and technical risk assessments to evaluate design options and make data-driven recommendations balancing various objectives</li>
<li>Create verification &amp; validation strategies (test plans, acceptance criteria, simulation requirements) and coordinate cross-discipline verification activities to ensure end-to-end performance and safety.</li>
<li>Act as the technical liaison to regulatory bodies, ops teams, suppliers, and program management to ensure compliance and smooth system integration into delivery workflows.</li>
</ul><h1 class="jobSectionHeader">We're excited about you because&hellip;</h1>
<ul><li>Bachelor's or advanced degree in Systems, Aerospace, Electrical, Mechanical, or a related engineering discipline.</li>
<li>Proficiency with requirements management tools (e.g., DOORS, Jama, or Polarion) and structured requirements traceability processes.</li>
<li>Demonstrated experience developing and validating system requirements in self-driving, aerospace, or other safety-critical domains.</li>
<li>Proven ability to collaborate across disciplines (Mechanical, Electrical, Software, and Reliability Engineering) to define and manage system interfaces.</li>
<li>Exceptional analytical, communication, and organizational skills, with a track record of driving complex, cross-functional engineering efforts.</li>
<li>Experience with Python or SQL for data analysis, system modeling, or test automation.</li></ul><div><h1 class="jobSectionHeader"> 
About DoorDash</h1>

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
 
 
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
<h1 class="jobSectionHeader">
Our Commitment to Diversity and Inclusion</h1>

We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on &quot;protected categories,&quot; we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce &ndash; people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.</div></div>

Systems Engineer

Uber

<div>About the Role
 
 
We're looking for a highly skilled Senior Engineer to help design and scale the technical solution behind Uber's real-time dynamic pricing systems, which serve millions of riders and drivers worldwide. 
 
In this role, you'll design, build and optimize large-scale, low-latency systems that power pricing decisions across Uber's marketplace. You'll work on the product iteration with the platform that handles over 1 million QPS, ensuring pricing is accurate, timely, and resilient in the face of real-world volatility. You'll collaborate closely with engineers across platform, ML modeling, and data to implement performant, reliable, and maintainable services. 
 
This is a unique opportunity to tackle technically challenging problems at the intersection of real-time distributed systems, optimization, and ML, while contributing directly to Uber's core platform efficiency and driver earnings. 
 
Why This Role Matters 
 
You'll be working on the platform that directly affects millions of drivers' livelihoods and riders' experiences every day. Our pricing systems process billions of real-time decisions, balancing marketplace efficiency, driver earnings, and rider satisfaction. You'll have the opportunity to: 
<ul><li>
Solve unique technical challenges at the intersection of real-time optimization and distributed systems</li><li>
Work with cutting-edge pricing algorithms and ML systems that operate at unprecedented scale</li><li>
Shape the technical direction of critical business with direct P&amp;L impact</li></ul> 
What the Candidate Will Do - 
<ul><li>
Partner with Marketplace Product and science teams to build a unified solution for pricing algorithms iterations and marketplace optimization.</li><li>
Collaborate with ML Engineering teams to build the MVP business product and scale model inference and real-time feature serving for pricing decisions</li><li>
Partner with Platform Engineering teams to ensure 99.99% availability for critical pricing systems, and contribute to multi-quarter 'Pricing as a Platform' initiatives to enhance marketplace efficiency, pricing reliability, and developer velocity.</li><li>
Mentor junior engineers and contribute to raising the technical bar across your immediate team and adjacent pricing teams.</li></ul> 
- Basic Qualifications - 
 
Exceptional Technical Background 
<ul><li>
Computer Science degree or equivalent technical education</li><li>
4+ years of industry experience with demonstrated exceptional technical impact.</li><li>
Background at leading technology companies known for world-class infrastructure ( Meta, Amazon, Databricks, TikTok, Google, Netflix, Airbnb, or similar scale)</li></ul> 

Deep Technical Expertise 
<ul><li>
Expert-level experience with large-scale distributed systems, handling millions of QPS or experience on optimization and simulation.</li><li>
Proficiency in real-time streaming or batch processing (e.g., Kafka, Flink, Spark) and low-latency data systems.</li><li>
Advanced knowledge of database technologies (e.g., MySQL, Hive, Redis) and caching strategies.</li><li>
Experience with microservices architecture, service mesh, and observability at scale</li><li>
Exceptional coding skills in Go, Java and python, with experience in high-performance system design.</li></ul> 
- Preferred Qualifications - 
<ul><li>
Strong background in real-time system, math, optimization and simulation.</li><li>
Worked on real-time infrastructure serving 100M+ users, or 1M+ QPS, achieved 10x+ performance improvements, and breakthrough technical innovations</li><li>
Fundamental machine learning knowledge</li><li>
Track record of operational excellence: incident management, SLA optimization, and system reliability</li></ul> 
For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Senior Software Engineer - Marketplace Real Time Supply Intelligence

Polymath Robotics

<div>
 
 Overview
 
 
 
 Polymath Robotics is creating software that can safely control all of the world's industrial vehicles, and we&rsquo;re looking for a Applications Engineer to join our team. We&rsquo;re a close-knit group, each of us experts in our fields, working to bring autonomous vehicles to various industries quickly. We believe this moment in robotics and autonomy is as groundbreaking as the PC industry of the 80s, and we need your help.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Communicate with prospective clients to align expectations and ensure our features cover their use cases.
 </li>
 <li>
 Work closely with engineering and DevOps teams to ensure requirements are communicated between clients, our teams, and integrator teams
 </li>
 <li>
 Contribute to our work in ROS2, filling in the gaps and enhancing our architectural framework whenever possible
 </li>
 <li>
 Finding common features wherever possible across client use cases.
 </li>
 <li>
 Learn about, engage with, and educate customers on various areas of robotics including perception, controls, behavior, path planning, obstacle detection, tracking, and avoidance. Be the engineer who knows what we can/can&rsquo;t do, and how to align that with customer goals.
 </li>
 <li>
 Prepare technical proposals that address customer requirements, and track progress of the project according to the proposal
 </li>
 <li>
 Maintain high ownership of your work, witnessing firsthand the impact of your planning and code on customer vehicles performing real tasks
 </li>
 <li>
 Travel is a part of the job, both for sales meetings and onsite technical support, though we try to minimize it as an organization
 </li>
 <li>
 Assist in customizing products or solutions to fit specific customer requirements. Being able to rapidly spin up demo-level code for conferences or presentations is a nice-to-have.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Expertise in one or more of the following: C++, Python, ROS/ROS2, machine vision, modern software development, and systems architecture.
 </li>
 <li>
 Previous experience working on robots or other autonomous systems.
 </li>
 <li>
 A passion for high ownership of work and a collaborative spirit, with the ability to learn about and contribute anywhere on the stack as needed.
 </li>
 <li>
 Excellent written and verbal communication skills are a must, along with a passion for working with client teams and seeing their projects succeed.
 
 
 </li>
 </ul>
 Why Join Polymath Robotics?
 
 
 <ul>
 <li>
 Collaborative Environment: Work alongside fantastic team members on collaborative projects
 </li>
 <li>
 Hybrid Workplace: Enjoy the flexibility of a hybrid work model, with engineering based in our SF Mission office three days a week, giving a good balance of maker time and synchronization time.
 </li>
 <li>
 Open Source Advocacy: We strongly support open-source robotics efforts, allowing your work to be shareable and publishable whenever possible.
 </li>
 <li>
 Humor &amp; Passion: We might occasionally be a bunch of rosbags, but our passion and humor drive us to accelerate the realization of autonomous vehicles in the industry.
 
 
 </li>
 </ul>
 
 Application Process
 
 
 
 Interested candidates are invited to submit their resume, and optionally a cover letter detailing their experience and interest in the role, and any relevant portfolio or project links.
 
 
 Polymath Robotics is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We don&rsquo;t look for a &ldquo;cultural fit&rdquo;, we look for people who add to the culture.
</div>

Applications Engineer - San Francisco

WAFER

<div><h2 class="jobSectionHeader">About the role</h2>
Join our team as an intern to build the future of inference, GPU optimization and AI infrastructure. You'll work directly as a full-time engineer with the team to help define our technical direction and build the core systems that power our GPU optimization platform.<h2 class="jobSectionHeader">
What You'll Do</h2><ul><li>
Build scalable infrastructure for AI model training and inference</li><li>
Lead technical decisions and architecture choices</li></ul><h2 class="jobSectionHeader">
What We Look For</h2><h3 class="jobSectionHeader">
Core Technical Expertise</h3><ul><li>
GPU Fundamentals: Deep understanding of GPU architectures, CUDA programming, and parallel computing patterns.</li><li>
Deep Learning Frameworks: Proficiency in PyTorch, TensorFlow, or JAX, particularly for GPU-accelerated workloads.</li><li>
LLM/AI Knowledge: Strong grounding in large language models (training, fine-tuning, prompting, evaluation).</li><li>
Systems Engineering: Proficiency in C++, Python, and possibly Rust/Go for building tooling around CUDA.</li></ul><h3 class="jobSectionHeader">
Ideal Background</h3><ul><li>
Publications or open-source contributions in inference GPU computing or ML/AI for code are a plus.</li><li>
Hands-on experience with large-scale experiments, benchmarking, and performance tuning.</li></ul></div>

Member of Technical Staff (Spring Internship)

Member of Technical Staff (Winter Internship)

Halliday

<div>
 
 About Halliday
 
 
 
 Halliday is a blockchain company and product lab working to create a unified, cross-chain payments ecosystem. Its flagship product, Halliday Payments, is a unified payments platform that makes it easy for users to onramp, swap, and take other onchain actions. Halliday&rsquo;s products are built on the Workflow Protocol, which removes the need to code smart contracts by hand and enables breakthrough applications to ship in hours, not years.
 
 
 Backed by a16z and #Hashed, Halliday has worked with prominent developers such as ApeChain, Story Protocol and DeFi Kingdoms to provide seamless experiences for both developers and users. The team includes alumni from Stanford, Harvard, Compound, Solana Foundation, Meta, Netflix, and more.
 
 
 
 About The Role
 
 
 
 As a Software Engineer at Halliday, you&rsquo;ll play a pivotal role in designing and building the core infrastructure driving the future of commerce. This is an opportunity to work on cutting edge technology that makes blockchain accessible, seamless, and secure, while collaborating with a talented and passionate team.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 Architect and build secure distributed systems that integrate blockchains, cryptography, decentralized finance, zero knowledge proofs, and many other bleeding edge technologies.
 </li>
 <li>
 Develop scalable services, APIs, and robust testing frameworks to support our platform.
 </li>
 <li>
 Utilize open-source blockchain SDKs to interact with various networks, protocols, and smart contracts.
 </li>
 <li>
 Contribute to the development and refinement of Halliday&rsquo;s public SDKs, making it easy for developers to integrate with our services.
 </li>
 <li>
 Collaborate with cross-functional teams, including design, product, engineering, and business to build impactful solutions that advance the web3 ecosystem.
 </li>
 <li>
 Innovate and expand on our foundational cross-chain protocol.
 </li>
 <li>
 Continuously identify and implement improvements to enhance our platform's performance, security, and scalability.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Experience as a software engineer, demonstrated through impactful projects such as developing scalable applications, building robust APIs, or contributing to widely-used libraries and frameworks.
 </li>
 <li>
 A quick learner with a passion for exploring new technologies and creating innovative solutions.
 </li>
 <li>
 A collaborative mindset and excellent problem-solving skills.
 </li>
 <li>
 Located in or willing to relocate to the San Francisco Bay Area or New York City.
 
 
 </li>
 </ul>
 
 Nice to haves
 
 
 
 <ul>
 <li>
 Experience working with blockchain technologies, including EVM-based chains, Bitcoin, and/or Solana.
 </li>
 <li>
 Solid understanding of blockchain concepts, including smart contracts, cryptography, and decentralized applications.
 </li>
 <li>
 Familiarity with modern web services, cloud infrastructure, containerization, and deployment pipelines.
 
 
 </li>
 </ul>
 
 Why Work at Halliday?
 
 
 
 <ul>
 <li>
 A role with significant autonomy to build out the next generation infrastructure of the blockchain space.
 </li>
 <li>
 Competitive compensation package, with unlimited PTO and a friendly work environment.
 </li>
 <li>
 For international candidates - we offer visa sponsorship!
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 The base salary range for this role is $150,000 - $190,000. This reflects the minimum and maximum range across all US locations. This does not include equity or benefits.
 
 
 The actual base pay is dependent upon many factors, such as: experience, relevant skills, and role level. Your recruiter can share more about the compensation and benefits applicable to your location during the hiring process.
</div>

Software Engineer

OpenAI

<div>
 
 About The Team
 
 
 
 The Core Services team is responsible for building and managing foundational services. It acts as the bridge between core infrastructure (e.g. compute, storage, networking) and product engineering teams, and enables product teams to move fast, build reliably, and scale efficiently.
 
 
 
 About The Role
 
 
 
 As a software engineer in the core services team, you will design and operate critical backend platforms such as caching systems, workflow orchestration, metadata stores, and file services. You&rsquo;ll focus on building highly reliable, scalable, and performant systems that serve as the backbone of our products.
 
 
 We&rsquo;re looking for people who are passionate about building infrastructure that empowers product teams, love working on distributed systems challenges, and enjoy creating well-designed APIs and abstractions that accelerate development.
 
 
 This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design, build, and maintain shared infrastructure services such as caching layers, workflow orchestration (Temporal), metadata stores, and file storage services.
 </li>
 <li>
 Collaborate with product teams to provide scalable, reliable primitives that abstract the complexities of distributed systems.
 </li>
 <li>
 Improve performance, resilience, and scalability of core services that power customer-facing applications.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have experience with distributed systems, caching infrastructure (e.g., Redis, Memcached), metadata storage (e.g., FoundationDB), or workflow orchestration (e.g., Temporal, Cadence).
 </li>
 <li>
 Have experience running containerized services in cloud environments and integrating them into automated build/test/release (CI/CD) workflows.
 </li>
 <li>
 Understand trade-offs in consistency models, replication strategies, and performance optimization in multi-region systems.
 </li>
 <li>
 Excel at communication and collaboration with cross-functional teams, and are obsessed with delivering customer success.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $255K - $405K
</div>

Software Engineer, Core Services

Explore 137+ Systems engineer in San Francisco United States this November. Find roles across top companies and apply now to boost your career.