How does swipeandhired work?

You set your target roles, salary floor and locations once. swipeandhired scores matching postings against your profile, drafts tailored application materials with AI, and either lets you swipe to apply, one tap at a time, or runs fully on autopilot. Every application is tracked in your dashboard.

Which ATS platforms does swipeandhired support?

All of them. swipeandhired applies on every applicant tracking system (ATS) employers use, including Workday, SmartRecruiters, Greenhouse, iCIMS, Lever, Ashby, Taleo, SuccessFactors, Oracle Cloud and Jobvite, and on a company's own careers page when it uses none of them. You can also bring any posting yourself by link or pasted text.

Can I cancel my subscription?

Anytime, in one click from the billing portal in Settings. Your plan stays active until the end of the current billing period. No retention calls, no dark patterns.

Is my data used for training AI models?

No. Your resume and application data are processed only to run the service for you, matching, drafting, and submitting applications. We never sell your data. If you bring your own AI provider key, requests go directly to your provider under their terms.

Senior Software Engineer, Agentic Systems at NVIDIA, US CA Santa Clara

Senior Software Engineer, Agentic Systems at NVIDIA in US CA Santa Clara. Full-time. Est. $300k or more. Apply with swipeandhired.

We are looking for a Senior Software Engineer to help build NeMo Platform, NVIDIA’s product for developing, evaluating, deploying, and operating AI systems at scale. This role will focus on NeMo Evaluator, which helps teams understand whether changes to AI agents are making those agents better. As AI systems become more autonomous and more deeply integrated into real workflows, teams need practical infrastructure for observing behavior, measuring progress, catching regressions, and iterating with confidence.

Our roadmap is increasingly focused on agentic development and automated agent improvement: giving teams the infrastructure they need to compare versions, understand behavior, and make empirically grounded improvements over time.

What you'll be doing:

Design and implement Python-first APIs, SDK workflows, and plugin interfaces for building, measuring, and improving agents across multiple runtimes and product surfaces

Build reusable systems for observing behavior, measuring progress, detecting regressions, and turning runtime evidence into product decisions

Build systems for ingesting, normalizing, validating, and analyzing agent execution data and evaluation datasets

Partner with research, product, platform, and infrastructure teams to integrate agentic capabilities broadly across NVIDIA agent runtimes and developer workflows

Help turn emerging agent development and improvement techniques into reliable, reusable product capabilities

Improve reliability, observability, debuggability, and performance across NeMo Platform, SDKs, plugins, jobs, and developer workflows

Build strong test coverage across unit, integration, E2E, Docker, and Kubernetes workflows

Drive “speed of light” engineering: fast iteration, high ownership, pragmatic decisions, and performance-minded implementation under production constraints

Provide senior technical leadership through design reviews, code reviews, mentoring, and ownership of ambiguous cross-component problems

What we need to see:

BS, MS, or equivalent experience in Computer Science, Computer Engineering, or a related technical field

5+ years of professional software engineering experience building production systems

Excellent Python engineering skills, including API design, typing, testing, debugging, performance analysis, and maintainable software design

Experience designing SDKs, libraries, plugins, CLIs, or other developer-facing interfaces

Experience with distributed systems, cloud-native services, containers, Kubernetes, or job orchestration

Strong understanding of reliability, scalability, security, and performance tradeoffs in production infrastructure

Experience with structured data modeling and validation systems such as Pydantic, typed schemas, event/trace models, or SDK-generated types

Ability to work independently, define technical scope, break down ambiguous problems, and drive work across team boundaries

Clear communication skills and a track record of collaborating with engineering, product, research, or customer-facing teams

Ways to stand out from the crowd:

Experience building, deploying, and iterating on production agentic AI systems where evaluation was used to measure and improve real product outcomes

Experience designing evaluation workflows for heterogeneous agents, including tool-using agents, RAG agents, workflow agents, coding agents, or long-running autonomous systems

Experience integrating evaluation capabilities across multiple products, runtimes, or internal platforms, especially through Python SDKs, plugins, or shared developer tooling

Strong ability to connect technical evaluation work to business outcomes, product quality, user experience, reliability, or operational efficiency

Experience with enterprise AI systems where measurement, regression testing, observability, governance, and continuous improvement are required for production deployment

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re passionate about leading breakthrough AI research and building exceptional teams that shape the future of computing, we want to hear from you.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until November 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.