distributed systems engineer

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
We are hiring a Principal Software Engineer &mdash; a deeply hands-on technical leader who thrives on solving complex problems, writing production code, and elevating the engineers around them.
You will serve as the senior engineering voice across a portfolio of mission-critical clinical decision-support applications. These systems combine low-latency distributed architectures with advanced LLM, OCR, and ML pipelines running on Google Cloud.
This is not an &ldquo;architect-from-the-sidelines&rdquo; role. You will actively design systems, write critical code, ship to production, support live environments, and mentor engineers across UI, backend, and ML. Success in this role is measured by the quality, performance, reliability, and clinical impact of what you deliver&mdash;not by presentations.<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2><ul><li>
Own architecture and execution 
Lead the technical direction of a real-time, multi-service clinical platform on GCP, while personally building the most critical and performance-sensitive components.</li><li>
Build production-grade LLM systems 
Design and operate scalable LLM pipelines (e.g., Claude, Gemini, GPT-4-class) including prompt engineering, structured outputs, evaluation frameworks, retrieval/vector search, OCR-based document understanding, grounding, guardrails, and hallucination mitigation.</li><li>
Deliver real-time, high-performance systems 
Architect distributed, event-driven, streaming services that support sub-second clinician experiences under heavy load, with strict SLOs and strong fault tolerance.</li><li>
Operationalize machine learning 
Lead deployment and lifecycle management of models on Vertex AI, including feature pipelines, model registries, drift detection, A/B and shadow testing, and CI/CD-integrated quality controls.</li><li>
Design for scalability and change 
Build flexible APIs, microservices, and data contracts that support rapid iteration, backed by strong testing, observability, and progressive delivery practices.</li><li>
Raise the engineering bar 
Drive high-quality code reviews, establish standards across testing, CI/CD, security, and observability, and mentor engineers across full-stack and ML disciplines.</li><li>
Own outcomes end-to-end 
Translate ambiguous clinical and business needs into delivered solutions, monitor real-world performance, and continuously iterate based on data.</li><li>
Partner across disciplines 
Collaborate with Data Science, Product, Clinical SMEs, AI Governance, and Security teams to ensure solutions meet enterprise standards for compliance, privacy, and safety.</li></ul><h2 class="jobSectionHeader">
Required Qualifications:</h2><ul><li>
10+ years of software engineering experience with a strong record of delivering production systems at scale</li><li>
5+ years as a hands-on Staff or Principal-level engineer (actively coding, not removed from implementation)</li><li>
Expert proficiency in Python including performance tuning, concurrency, and system optimization</li><li>
5+ years building real-time distributed systems (event-driven, streaming, Pub-Sub) with clear latency and reliability requirements</li><li>
5+ years working in a major public cloud (GCP preferred: Vertex AI, GKE, Cloud Run, Pub/Sub, BigQuery, IAM, etc.)</li><li>
Deep experience with microservices architecture, API design (REST), and resilient systems (retries, backpressure, tracing)</li><li>
3+ years building and operating production ML systems (MLOps, monitoring, retraining, deployment pipelines)</li><li>
3+ years developing LLM-powered applications in production, including prompt design, RAG/vector search, evaluation frameworks, and performance optimization</li><li>
Experience building modern UI components with React or Angular</li><li>
Strong computer science fundamentals, including distributed systems, algorithms, and concurrency</li></ul> 
Preferred Qualifications<ul><li>
Experience operating LLM systems in regulated environments (PII/PHI, governance, security, auditability)</li><li>
Familiarity with vector databases (e.g., Vertex Vector Search, Pinecone, Weaviate, pgvector) and advanced retrieval techniques</li><li>
Experience designing evaluation frameworks for LLM systems (gold datasets, regression testing, LLM-as-judge)</li><li>
Strong background in CI/CD, SRE practices, and SLO-driven engineering</li><li>
Experience with healthcare data standards (FHIR, HL7) and compliance frameworks (HIPAA, HITRUST)</li><li>
Strong communication skills, with the ability to explain complex systems to both technical and non-technical audiences</li><li>
Proven track record of mentoring engineers into senior and staff roles</li></ul>
Education:<ul><li>
Bachelor&rsquo;s degree in Computer Science or a related field (or equivalent experience)</li><li>
Master&rsquo;s or PhD in Computer Science, Machine Learning, or a related discipline is a plus</li></ul>
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. 
Additional details about available benefits are provided during the application process and on Benefits Moments. 
We anticipate the application window for this opening will close on: 10/02/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Principal Software Engineer

Apple

The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. This team powers the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books, operating at massive scale and meeting Apple&rsquo;s high standards for performance and quality to deliver entertainment in over 35 languages across more than 150 countries. 
 
We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings a deep passion for building large-scale distributed data processing systems, frameworks, and platforms using big data technologies. 
 
Description 
 
As a team member of the ASE Analytics &amp; Data Engineering team, you will have significant responsibility and influence in shaping the team&rsquo;s future direction. This role is inherently cross-functional, and the ideal candidate will work closely across disciplines. We are looking for someone with a strong love for data and the ability to iterate quickly across all stages of the data pipeline lifecycle. 
 
This position involves working on a small, highly collaborative team to develop large-scale data pipelines and analytical solutions using big data technologies. Successful candidates will demonstrate strong engineering and communication skills, along with a belief that data-driven processes lead to exceptional products. You should have a passion for quality and an ability to understand and evolve sophisticated systems. 
 
&quot;,&quot;responsibilities&quot;:&quot;You will have the opportunity to: 
 
Work with a cross-functional team, collaborating with partners across product, engineering, operations, and business, and closely partner with stakeholders to translate requirements into scalable engineering solutions 
 
Help drive architectural vision to support future growth and opportunities 
 
Design, build, and maintain data pipelines and datasets that power key product features and insights, while protecting user privacy 
 
Own data quality, scalability, and SLAs for assigned datasets and pipelines 
 
Champion technical excellence and cultivate team spirit by contributing to best practices, documentation, shared tools, and solutions to common problems 
 
Preferred Qualifications 
 
Excellent collaboration and communication skills, with the ability to listen, influence, and drive solutions cohesively 
 
Minimum Qualifications 
 
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, a related quantitative field, or equivalent practical experience 
 
6+ years of experience building production systems using Java and/or Scala, with strong proficiency in Java and/or Scala for large-scale distributed data processing and familiarity with functional programming paradigms. 
 
Deep understanding of distributed batch and streaming data processing systems such as Spark, Flink, and Kafka 
 
Experience with big data ecosystem technologies such as HDFS, Hadoop, S3, MPP database, Kubernetes and Airflow. 
 
Proven track record of designing, launching, and scaling production-quality data pipelines that power product features 
 
Strong data intuition, backed by solid SQL and data analysis skills 
 
Experience with GDPR compliance and best practices for collecting, processing, and sharing data responsibly 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Software Engineer, Big Data - Apple Services Engineering

Google

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:<div><ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul></div><h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.</li>
<li>2 years of experience developing test automation in C++, Java or Python.</li>
<li>2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.</li>
<li>2 years of experience with data structures and algorithms.</li>
<li>Experience in developing cloud-based storage systems.</li>
<li>Experience tuning performance and scale in large-scale distributed systems.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
As a Software Engineer within Google Cloud Storage (GCS) Resource Engineering, you will make significant, independent technical contributions to our capacity planning, resource allocation, and efficiency platforms. You will design, code, and deploy features for GCS capacity pipelines, delivering end-to-end tasks to ensure Google&rsquo;s storage infrastructure never blocks AI workloads or scaling demands. You will own medium-to-large features from design to launch, directly supporting high-visibility initiatives that guarantee predictability, zonal isolation, and separation for customers. You will collaborate with senior engineers and partner teams to build advanced capacity solvers, automated guardrails, and resource fungibility models. You will align with GCS, Site Reliability Engineering (SRE), product partners to define technical requirements, leveraging Google&rsquo;s AI/ML tools to maximize engineering velocity and sustain operational excellence.Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Design, code, test, and deploy new features and enhancements for the GCS Resource engineering capacity planning pipelines, actively leveraging Google's AI tools and platforms to enhance productivity and innovation throughout the development life-cycle.</li>
<li>Own medium-to-large-scale features from technical design through to launch and operation.</li>
<li>Collaborate with fellow engineers, product managers, and partner teams to define project requirements and deliver on the product roadmap.</li>
<li>Contribute to the monitoring, alerting, and overall production health of the system.</li>
<li>Develop and maintain fluency with the latest internal AI tools and best practices for software engineering, proactively identify opportunities to apply AI to improve efficiency.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, GCS Resource Engineering

KNOT Technologies

<div>
 
 
 About the Company
 
 
 
 KNOT Technologies is a startup backed by one of the top-performing VCs in the Middle East and a strong founding team from Meta and Goldman Sachs. We&rsquo;re reshaping the event ticketing industry through the power of artificial intelligence. Headquartered in Sheikh Zayed (Egypt) and serving a global market, our platform delivers a smarter, faster, and more secure ticketing experience.
 
 
 
 
 
 We solve some of the biggest challenges in ticketing like fraud, scalping, and inefficiencies through AI-driven infrastructure that verifies tickets, streamlines transactions, and empowers event organizers. Whether it&rsquo;s a local concert or a global conference, our tools scale to meet the need.
 
 
 
 
 
 We&rsquo;re not just building software. We&rsquo;re building trust between organizers and audiences, one ticket at a time. If you're passionate about tech, events, and AI, and want to be part of a fast-growing team building the future of ticketing, we'd love to hear from you.&nbsp;
 
 
 
 
 
 
 About The Role
 
 
 
 We&rsquo;re seeking a highly experienced Software Engineer to join our innovative team. In this role, you will design, develop, and maintain large-scale distributed systems that power our booking and ticketing solutions. You will work closely with customers and cross-functional teams to ensure our products are performant, reliable, and aligned with user needs. If you have a proven track record of driving projects end-to-end, from ideation to deployment, and thrive in a collaborative environment, we want to hear from you.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Architect and build full-stack applications using React Native and Expo, ensuring high performance and scalability.
 </li>
 <li>
 Develop and maintain robust Node.js server applications, including designing RESTful APIs and microservices to support distributed system architecture.
 </li>
 <li>
 Develop and maintain large-scale distributed systems that meet rigorous standards for reliability and efficiency.
 </li>
 <li>
 Engage directly with customers during onboarding and support phases, addressing technical issues and optimizing user experiences.
 </li>
 <li>
 Drive projects independently from concept through to production deployment, managing every stage of the development lifecycle.
 </li>
 <li>
 Integrate AWS services, MongoDB databases, and booking/ticketing engine components into our software ecosystem.
 </li>
 <li>
 Uphold and advocate for best practices in code quality, version control (Git), testing, and continuous integration.
 </li>
 <li>
 Provide guidance and support to junior engineers, fostering a culture of continuous improvement and innovation.
 </li>
 </ul>
 
 
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science (or related field)
 </li>
 <li>
 5+ years of relevant work experience
 </li>
 <li>
 Solid background in Node.js server development, including building and maintaining RESTful APIs and microservices.
 </li>
 <li>
 Demonstrated ability to drive projects end-to-end with a strong sense of ownership and accountability.
 </li>
 <li>
 Excellent written and verbal communication skills in English, with a proven ability to collaborate effectively.
 </li>
 <li>
 Hands-on experience with AWS (Amazon Web Services), Git for version control, and MongoDB for database management.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Prior experience working on booking/ticketing engines or similar transactional systems.
 </li>
 <li>
 Experience working in agile development environments with iterative planning and continuous feedback.
 </li>
 <li>
 Familiarity with continuous integration and delivery pipelines, as well as IaC tools (e.g., Terraform).
 </li>
 <li>
 Exposure to additional web technologies and frameworks, enhancing your ability to contribute across various project dimensions.
 </li>
 </ul>
</div>

Senior Software Engineer - AI Start Up (Sheikh Zayed)

Point One Navigation

<div><h1 class="jobSectionHeader">Staff Network Backend Engineer</h1>
Location: San Francisco, CA / San Diego, CA &ndash; In Office 3 Days/Week<h2 class="jobSectionHeader">
About Point One Navigation</h2>
Point One Navigation is on a mission to bridge the digital and physical worlds through precision location. Our RTK Corrections Network and Positioning Engine deliver centimeter-level accuracy and high-confidence positioning for vehicles, robots, drones, and devices across industries. We're API-first, developer-focused, and pushing the boundaries of autonomy and automation.<h2 class="jobSectionHeader">
Role Outcome</h2>
Staff Network Backend Engineers own the design, implementation, and reliability of the backend services and APIs that power Point One's RTK Correction Network - from correction-data ingestion and distribution to the customer-facing APIs that deliver positioning at scale.
This is an ownership-first role: you will design and build distributed systems that serve real-time corrections to hundreds of thousands of devices in the field, with the latency, availability, and the correctness that mission-critical positioning demands.
The RTK Corrections Network is the backbone connecting our reference stations to every device that depends on us. This team is responsible for keeping it fast, reliable, and scalable: designing services that handle growing traffic, responding to evolving customer needs, and ensuring the network stays observable, tested, and production-ready as it grows.<h2 class="jobSectionHeader">
Success in this role means:</h2><ul><li>
Backend services are robust, performant, and scalable across a growing base of devices, customers, and geographies.</li><li>
Real-time corrections are delivered with low latency and high availability, even under load and partial failure.</li><li>
APIs are well-designed, well-documented, and easy for customers and internal teams to build on.</li><li>
Engineering decisions reflect a deep understanding of real-world constraints - latency, throughput, reliability, scale, and cost.</li><li>
Customer challenges are met with well-designed, durable solutions.</li><li>
Observability and testing are treated as first-class responsibilities, giving the team and customers confidence in every release.</li></ul><h2 class="jobSectionHeader">
Immediate Areas of Focus</h2>
Own Backend Services and APIs<ul><li>
Lead design, implementation, and optimization of backend services that power the RTK Corrections Network and customer-facing APIs.</li><li>
Build and evolve API-first services that are clear, well-documented, and reliable for internal and external developers.</li><li>
Break down high-level goals into concrete tasks, schedules, and milestones, and hold yourself accountable for delivering against them.</li><li>
Drive performance and efficiency improvements across the request path - latency, throughput, and cost.</li><li>
Ensure the service stack is well-structured, maintainable, and built to last as the product and customer base grow.</li></ul>
Scale the RTK Corrections Network<ul><li>
Own the ingestion, processing, and distribution of GNSS correction data from reference stations to devices in the field.</li><li>
Design streaming and connectivity paths (e.g., NTRIP and similar protocols) that deliver corrections reliably and at low latency.</li><li>
Expand network capacity and coverage as new regions, stations, and customers come online.</li></ul>
Build Reliable Distributed Systems<ul><li>
Design for high availability, graceful degradation, and recovery under partial failure.</li><li>
Own observability - metrics, logging, tracing, and alerting - so issues are caught and resolved before customers feel them.</li><li>
Identify and resolve bottlenecks and reliability risks early, particularly as traffic and scale grow.</li></ul>
Respond to Customer and Market Challenges<ul><li>
Engage directly with evolving customer needs and translate them into well-designed, durable technical solutions.</li><li>
Collaborate with embedded, firmware, infrastructure, and customer-facing teams to deliver reliable end-to-end systems.</li><li>
Surface technical risks and tradeoffs early so architecture and delivery decisions reflect real-world constraints.</li></ul>
Own Testing and Verification<ul><li>
Design and maintain rigorous testing strategies across backend services and the correction pipeline.</li><li>
Treat test coverage as a first-class engineering responsibility - ensuring the team and customers have confidence in every release.</li><li>
Identify gaps in coverage proactively, particularly as new services, protocols, or customer configurations are added.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
7+ years of professional software development, with significant depth in backend or distributed systems.</li><li>
Proven ability to design, build, and operate production backend services and APIs at scale - from architecture through deployment and on-call ownership.</li><li>
Proven ability to decompose high-level goals into actionable tasks, realistic schedules, and clear milestones - with a track record of delivering on commitments.</li><li>
Strong proficiency in a backend language such as Go, Java, or Python.</li><li>
Deep understanding of networking fundamentals (TCP/IP, TLS, HTTP) and experience building low-latency, high-throughput services.</li><li>
Experience designing and operating distributed systems - availability, scaling, and observability.</li><li>
Hands-on experience with cloud infrastructure (AWS, GCP, or similar), containers, and CI/CD.</li><li>
Experience designing and owning testing and verification strategies for complex systems.</li><li>
BS/MS in Computer Science, Computer Engineering, or equivalent experience.</li></ul>
Bonus Points For<ul><li>
Experience with real-time data streaming or low-latency messaging (gRPC, Kafka).</li><li>
Experience with distributed processing frameworks (Flink, Spark, Hadoop)</li><li>
Working knowledge of GNSS, RTK corrections, or positioning technologies.</li><li>
Background in highly available or mission-critical systems.</li><li>
Experience with infrastructure-as-code and large-scale observability tooling.</li></ul><h2 class="jobSectionHeader">
Our Cultural Foundation</h2>
At Point One, our cultural and operating design is built around one guiding principle: we must move with extreme speed and efficiency of effort to stay in a leadership position.
This environment gives people a high level of autonomy and the ability to make a real impact. It also challenges every team member to grow &mdash; both professionally and personally. Because we focus on promoting from within rather than relying on external hiring, the opportunities for advancement are tremendous for those who seek them.
That said, growth only comes from delivering in the present. What matters most is the job to be done today, not the job you want tomorrow. When we all focus on today&rsquo;s outcomes with excellence, the path to greater responsibility and growth naturally follows.
We think about our culture in two dimensions:<h2 class="jobSectionHeader">
How We Show Up Every Day</h2>
These are the behaviors we expect every team member to bring to work &mdash; the foundation of being a consummate, high-output teammate:<ul><li>
Trust / Assume Best Intent &mdash; Trust allows us to move fast. When we start from trust, we spend no time second-guessing or looking for ulterior motives and thus focus all our energy on acting.</li><li> 
High Output, Action Oriented &mdash; Our default posture is &ldquo;yes.&rdquo; We bias toward action and deliver results quickly, knowing that speed and efficiency compound into impact as we unblock others around us.</li><li> 
Divine Discontent &mdash; We&rsquo;re never satisfied with the status quo and are self-motivated to improve ourselves, our work, and our company. We actively seek feedback in real-time to shorten improvement cycles.</li><li> 
No Ego, One Team &mdash; Collaboration without ego creates leverage. When we win as one team, we eliminate friction and move faster together.</li><li> 
Self Accountability &mdash; Taking ownership is the straightest line to learning, self-improvement, and correcting our course of action. And blaming others around us is a fast path to destroying trust.</li></ul><h2 class="jobSectionHeader">
Operating Principles</h2>
These are the systems and norms that amplify speed and efficiency at the company level:<ul><li>
Edge Innovation &mdash; We bias toward action over approval. Experiment, decide, and move &mdash; failure is just a step toward faster learning.</li><li> 
No Hierarchies &mdash; We practice self-prioritization and go direct to the source. Flattening layers reduces drag and maximizes autonomy.</li><li> 
Customer Experience First &mdash; We optimize for the end-to-end customer outcome, not functional or departmental efficiency. This focus cuts waste, aligns priorities, and ensures we spend effort where it matters most.</li></ul>
If this role sounds like a fit, we&rsquo;d love to hear from you. Apply below and join us in shaping the future of precise location.
Compensation Range: $215K - $265.8K</div>

Senior Network Backend Engineer

NVIDIA

<div>The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload.
What you will be doing:<ul><li>
Build storage technologies, client libraries, and filesystem frameworks that help AI workloads access data across object stores, file systems, and hybrid cloud infrastructure.</li><li>
Develop high-performance storage paths for training and inference workflows, including data loading, checkpointing, caching, POSIX-style access, and object-store integration.</li><li>
Build observability systems that diagnose storage bottlenecks, attribute GPU idle time to I/O behavior, and expose actionable telemetry through production monitoring stacks.</li><li>
Improve performance, scalability, and reliability of storage systems serving massive datasets, deep directory trees, and high-concurrency AI workloads.</li><li>
Work closely with internal AI teams, platform teams, SRE, and operations to validate storage behavior against real workloads and production environments.</li><li>
Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, performance, and verification.</li></ul>
What we need to see:<ul><li>
BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience, with 5+ years of software engineering experience.</li><li>
Strong foundation in algorithms, data structures, distributed systems, operating systems, and practical software design.</li><li>
Experience building performance-sensitive systems, storage, backend, or cloud-native software in languages such as Go, Python, Rust, C/C++, or Java.</li><li>
Experience with storage systems, object stores, caching, Linux systems, Kubernetes, or cloud infrastructure.</li><li>
Ability to reason about performance, scalability, concurrency, reliability, and operational tradeoffs in production systems.</li><li>
Ability to design APIs, document systems, communicate clearly, and break ambiguous infrastructure problems into practical execution plans.</li><li>
Curiosity and practical judgment around AI-assisted or agentic engineering workflows, including using clear intent, specifications, acceptance criteria, tests, and verification to guide development.</li></ul>
Ways to stand out from the crowd:<ul><li>
Background with Linux kernel observability, eBPF, tracing, or low-overhead telemetry systems.</li><li>
Experience with FUSE, POSIX filesystems, object-store-backed filesystems, or filesystem metadata/indexing.</li><li>
Experience optimizing storage performance for AI training, checkpointing, inference, or large-scale data pipelines.</li></ul>
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention, the GPU, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is seeking exceptional individuals like you to help us drive the next wave of artificial intelligence.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.<div><div><div><div><div><div><div>
You will also be eligible for equity and benefits.</div></div></div></div></div></div></div>
Applications for this job will be accepted at least until July 10, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div>

Senior Storage Software Engineer, DGXC Data Services

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