Mechanical Engineer Jobs at Netflix with Visa Sponsorship
Netflix builds physical products and infrastructure that support its global streaming operation, and Mechanical Engineers here work on hardware systems, thermal management, and device development. Netflix has a consistent record of sponsoring international talent across multiple visa categories for engineering roles.
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Get Access To All JobsINTRODUCTION
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.
ROLE
The Decisioning & Optimization engineering team sits within the Ad Serving & Decisioning at Netflix Ads. We own the systems that power real-time ad decisioning, delivering relevant, high-quality ads while balancing revenue goals, advertiser outcomes, and member experience. Our work spans ML model serving infrastructure, ranking and scoring, auction mechanics, budget and pacing systems, and goal-based delivery optimization along with podding, traffic shaping models, and more. We are looking for a senior technical leader to own the technical direction of this pod, set the architectural bar, and drive execution on the hardest problems in ads optimization at Netflix. This is a 60% builder / 40% influencer role: you will write code, ship a proof-of-concept in your first weeks, and earn the trust of an opinionated senior team while simultaneously setting direction across the organization.
Responsibilities
- Own the technical direction of the Decisioning & Optimization team: architecture reviews, incident leadership, capacity planning, and scaling
- Architect and evolve the real-time ad decisioning optimization path: multi-stage auction, ranking, scoring, bidding, and pacing under strict latency and throughput constraints
- Scale our ads model serving infrastructure to support dozens of concurrent hot-path ML models with sub-20ms P99 inference, including config-driven model routing, multi-model lifecycle management, fallback tiers, and calibration serving
- Work closely with Science and Platform teams, ensuring seamless model productionization and algorithm deployment
- Build out various simulation and containerized testing frameworks to enable offline validation of marketplace changes before live rollout
- Design and implement real-time pacing systems that drive budget delivery accuracy across campaign lifetimes
- Develop and scale goal-based delivery optimization, enabling dynamic allocation of budget and inventory across multiple demand channels to maximize advertiser outcomes
- Drive modularization and platform-thinking: build reusable components and clean interfaces that let the team move faster
- Drive operational excellence: reliability, observability, deployment automation, capacity planning, and incident leadership across the optimization and broader ad serving stack
BASIC QUALIFICATIONS
- 10+ years building distributed systems and backend services at large scale; 3+ years in the ads domain
- Deep experience with ML model serving infrastructure: scaling real-time inference on the hot path at high QPS with sub-20ms P99 latency, including model deployment pipelines, feature hydration, and fallback strategies
- Built and operated core ad tech systems: ad servers, bidders, pacers, or ranking and scoring components
- Designed APIs, platform abstractions, and data models that enable seamless interoperability across a multi-team ads platform
- Strong understanding of ad serving concepts: inventory management, frequency and recency capping, member ad experience quality, and supply-demand dynamics
- Track record of technical leadership across multiple teams, setting architectural direction and influencing cross-functional roadmaps
- Comfortable at the intersection of engineering, data science, and product, translating ML research and algorithms into production systems
- Demonstrated ability to operate in the environment which is a mix of big-tech scale and startup speed, taking projects that normally take years and delivering production-ready results with tight timelines
PREFERRED QUALIFICATIONS
- Experience with auction mechanics: first-price, second-price, reserve pricing, bid shading, and marketplace competition dynamics
- Multi-stage ranking systems (retrieval, scoring, reranking), podding and ad break planning
- Built or improved budget pacing and delivery control systems
- Yield optimization, inventory forecasting, dynamic pricing, fill rate optimization, and demand/supply allocation strategies
- Familiar with CTV constraints: server-side ad insertion, live event ad serving at scale
- Experience with experimentation infrastructure: A/B testing, holdout groups, interference-aware marketplace experiments
- Built simulation or counterfactual testing platforms for marketplace or auction systems
- Strong background in resiliency and reliability: ensuring system availability under extreme load (live events, traffic spikes)
COMPENSATION
- The range for this role is $499,000.00 - $900,000.00.
- Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range.
BENEFITS
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
INTRODUCTION
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.
ROLE
The Decisioning & Optimization engineering team sits within the Ad Serving & Decisioning at Netflix Ads. We own the systems that power real-time ad decisioning, delivering relevant, high-quality ads while balancing revenue goals, advertiser outcomes, and member experience. Our work spans ML model serving infrastructure, ranking and scoring, auction mechanics, budget and pacing systems, and goal-based delivery optimization along with podding, traffic shaping models, and more. We are looking for a senior technical leader to own the technical direction of this pod, set the architectural bar, and drive execution on the hardest problems in ads optimization at Netflix. This is a 60% builder / 40% influencer role: you will write code, ship a proof-of-concept in your first weeks, and earn the trust of an opinionated senior team while simultaneously setting direction across the organization.
Responsibilities
- Own the technical direction of the Decisioning & Optimization team: architecture reviews, incident leadership, capacity planning, and scaling
- Architect and evolve the real-time ad decisioning optimization path: multi-stage auction, ranking, scoring, bidding, and pacing under strict latency and throughput constraints
- Scale our ads model serving infrastructure to support dozens of concurrent hot-path ML models with sub-20ms P99 inference, including config-driven model routing, multi-model lifecycle management, fallback tiers, and calibration serving
- Work closely with Science and Platform teams, ensuring seamless model productionization and algorithm deployment
- Build out various simulation and containerized testing frameworks to enable offline validation of marketplace changes before live rollout
- Design and implement real-time pacing systems that drive budget delivery accuracy across campaign lifetimes
- Develop and scale goal-based delivery optimization, enabling dynamic allocation of budget and inventory across multiple demand channels to maximize advertiser outcomes
- Drive modularization and platform-thinking: build reusable components and clean interfaces that let the team move faster
- Drive operational excellence: reliability, observability, deployment automation, capacity planning, and incident leadership across the optimization and broader ad serving stack
BASIC QUALIFICATIONS
- 10+ years building distributed systems and backend services at large scale; 3+ years in the ads domain
- Deep experience with ML model serving infrastructure: scaling real-time inference on the hot path at high QPS with sub-20ms P99 latency, including model deployment pipelines, feature hydration, and fallback strategies
- Built and operated core ad tech systems: ad servers, bidders, pacers, or ranking and scoring components
- Designed APIs, platform abstractions, and data models that enable seamless interoperability across a multi-team ads platform
- Strong understanding of ad serving concepts: inventory management, frequency and recency capping, member ad experience quality, and supply-demand dynamics
- Track record of technical leadership across multiple teams, setting architectural direction and influencing cross-functional roadmaps
- Comfortable at the intersection of engineering, data science, and product, translating ML research and algorithms into production systems
- Demonstrated ability to operate in the environment which is a mix of big-tech scale and startup speed, taking projects that normally take years and delivering production-ready results with tight timelines
PREFERRED QUALIFICATIONS
- Experience with auction mechanics: first-price, second-price, reserve pricing, bid shading, and marketplace competition dynamics
- Multi-stage ranking systems (retrieval, scoring, reranking), podding and ad break planning
- Built or improved budget pacing and delivery control systems
- Yield optimization, inventory forecasting, dynamic pricing, fill rate optimization, and demand/supply allocation strategies
- Familiar with CTV constraints: server-side ad insertion, live event ad serving at scale
- Experience with experimentation infrastructure: A/B testing, holdout groups, interference-aware marketplace experiments
- Built simulation or counterfactual testing platforms for marketplace or auction systems
- Strong background in resiliency and reliability: ensuring system availability under extreme load (live events, traffic spikes)
COMPENSATION
- The range for this role is $499,000.00 - $900,000.00.
- Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range.
BENEFITS
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
See all 60+ Mechanical Engineer at Netflix jobs
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Get Access To All JobsTips for Finding Mechanical Engineer Jobs at Netflix Jobs
Frame your hardware experience for Netflix's context
Netflix hires Mechanical Engineers for server hardware, data center cooling systems, and consumer device programs. Tailor your resume to show thermal analysis, enclosure design, or manufacturing experience rather than generic product development work.
Confirm specialty occupation alignment before applying
H-1B eligibility requires your Mechanical Engineer role to qualify as a specialty occupation under USCIS criteria. Roles tied to hardware systems and data center infrastructure at Netflix typically meet this threshold, but verify the job description requires a relevant bachelor's degree or higher.
Target Netflix's hardware and infrastructure teams directly
Netflix's open Mechanical Engineer roles span consumer devices and physical infrastructure. Search specifically for postings tied to these teams rather than applying broadly, since sponsorship decisions often sit with the hiring manager inside specific business units.
Understand the LCA filing step before your offer stage
Before Netflix can file your H-1B petition with USCIS, it must certify a Labor Condition Application with the DOL confirming prevailing wage compliance. This step happens after your offer and before petition filing, so factor it into your start date expectations.
Use Migrate Mate to identify Netflix's Mechanical Engineer openings
Not all Netflix Mechanical Engineer roles are equally accessible to visa-sponsored candidates. Use Migrate Mate to filter and browse openings at Netflix filtered by sponsorship eligibility so you focus your applications where sponsorship is confirmed.
Prepare your credential documentation for multiple visa pathways
Netflix sponsors H-1B, E-3, TN, and Green Card pathways, and the documents required differ. Have certified transcripts, a degree equivalency evaluation if your qualification is from outside the U.S., and employment verification letters ready before your first interview.
Mechanical Engineer at Netflix jobs are hiring across the US. Find yours.
Find Mechanical Engineer at Netflix JobsFrequently Asked Questions
Does Netflix sponsor H-1B visas for Mechanical Engineers?
Yes, Netflix sponsors H-1B visas for Mechanical Engineers. The role must qualify as a specialty occupation under USCIS criteria, meaning the position requires at least a bachelor's degree in a relevant field such as Mechanical Engineering or a closely related discipline. Netflix's hardware and infrastructure engineering roles consistently meet this standard, and the company has a demonstrated record of filing H-1B petitions for technical engineering positions.
How do I apply for Mechanical Engineer jobs at Netflix?
Applications go through Netflix's careers site, where Mechanical Engineer roles are listed by team and location. Before applying, review the job description carefully to confirm it aligns with your technical background in areas like thermal systems, hardware design, or manufacturing. You can also use Migrate Mate to browse Netflix's Mechanical Engineer openings filtered by visa sponsorship eligibility, which helps you prioritize roles where sponsorship is already confirmed.
Which visa types does Netflix commonly use for Mechanical Engineers?
Netflix sponsors multiple visa categories for Mechanical Engineers, including H-1B, E-3 for Australian citizens, TN for Canadian and Mexican nationals under the USMCA, F-1 OPT and CPT for students, and immigrant visa pathways including EB-2 and EB-3 Green Cards. The right pathway depends on your nationality, degree, and career stage. Your offer letter stage is the right time to clarify with Netflix's immigration team which category applies to your situation.
What qualifications does Netflix expect for Mechanical Engineer roles?
Netflix's Mechanical Engineer roles typically require a bachelor's degree or higher in Mechanical Engineering or a related field, plus hands-on experience in areas like thermal management, enclosure or hardware design, or systems integration. Roles tied to data center infrastructure often expect familiarity with cooling systems and physical server design. Advanced degrees or experience with consumer electronics development can strengthen your profile for roles on Netflix's device programs.
How do I think about timing if I need H-1B sponsorship at Netflix?
The H-1B cap lottery opens each March for an October 1 start date, so an offer needs to come together by late February or early March to enter that cycle. If you're on F-1 OPT, your work authorization can bridge the gap. Netflix's immigration team manages the USCIS petition and DOL Labor Condition Application process, but understanding these deadlines before your offer negotiation helps you set realistic start date expectations.
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