NVIDIA Corporation

Senior Backend Platform Engineer - Profiling Services

NVIDIA Corporation$140K — $224K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS or MS in Computer Science, Data Engineering, or related field, or equivalent experience.
  • 5+ years building production backend services or data platforms using Python or similar languages.
  • Strong software engineering fundamentals including testing, failure handling, and production diagnostics.
  • Experience with asynchronous backends, query execution, or real-time stateful systems for service-focused work.
  • Strong SQL skills and experience with schema evolution and data modeling for data-focused work.
  • Sound judgment regarding failure and concurrency with examples of handling retries and recovery.
  • Ability to translate system behavior data into actionable improvements.

Responsibilities

  • Design and build backend services for interactive performance analysis and workflows.
  • Enhance responsiveness, scalability, and efficiency of data-heavy products.
  • Develop capabilities for onboarding and managing large performance datasets.
  • Create durable interfaces and flexible data models for evolving product needs.
  • Engineer resilience in systems against concurrency issues and partial failures.
  • Implement effective testing and observability practices for owned capabilities.
  • Collaborate with various teams to deliver comprehensive customer workflows.

Benefits

  • Equity participation.
  • Health, dental, and vision insurance.
  • Flexible working hours and environment.
  • Opportunities for professional growth and development.
Full Job Description
NVIDIA's Developer Tools team is seeking a Senior Backend Platform Engineer to build scalable and reliable capabilities for profiling services. This role combines production backend engineering with data-intensive systems work. You will improve how complex performance data is processed, served, and operated. The work involves close collaboration with partners in frontend, security, product, and source systems.

What you'll be doing:
  • Design and build production backend services for interactive performance analysis and collaborative workflows.
  • Improve the responsiveness, scalability, and efficiency of data-intensive product experiences.
  • Develop reliable capabilities for onboarding, validating, organizing, and serving large performance datasets.
  • Create durable service interfaces and data models that can evolve as product needs grow.
  • Engineer resilient behavior for concurrency, partial failures, retries, and recovery.
  • Establish effective testing, observability, and operational practices for the capabilities you own.
  • Partner with frontend, security, product, and source-system teams to deliver complete customer workflows.


What we need to see:
  • BS or MS in Computer Science, Data Engineering, or a related field, or equivalent experience.
  • 5+ years of experience building production backend services, distributed systems, analytical systems, or data platforms using Python or a comparable language.
  • Strong software engineering fundamentals, including automated tests, failure handling, production diagnostics, and compatible evolution of APIs or stored data.
  • For service-focused work, experience with asynchronous backends and hands-on depth in query execution or real-time stateful systems.
  • For data-focused work, strong SQL and experience with ingestion, schema evolution, analytical storage, or query-optimized data modeling.
  • Sound judgment about failure and concurrency, demonstrated through problems such as cancellation, replay, safe retries, or recovery.
  • Ability to measure system behavior and turn logs, metrics, traces, load tests, or data-quality signals into practical improvements.
  • A record of working across client, service, data, and security concerns to ship a complete production workflow.


Ways to stand out from the crowd:
  • Practical coding skills in Python, C++, or Rust, encompassing the capability to write, review, and direct production-quality infrastructure software. Experience with Rust is highly valued.
  • Experience making high-cardinality, time-indexed, trace, telemetry, or profiling workloads responsive at scale.
  • Experience keeping live state consistent with WebSockets, pub/sub, replay, or comparable real-time techniques.
  • Experience improving analytical reads or ingestion with columnar formats, embedded query engines, analytical stores, progressive detail, or incremental processing.
  • Background in generated clients, secure sharing, authorization-aware caching, provenance, lifecycle automation, or cost attribution.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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