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CFX Technical Assistant

Netflix

CFX Technical Assistant

Netflix

Sydney,Australia

·

On-site

·

Full-time

·

2mo ago

Netflix Animation Studios is on a mission to entertain the world with bold, immersive animated films that are timeless and impactful. We are paving the way for the future of animation by building a community of amazing artists and talent across three vibrant locations globally. Come join us!

Job Summary

Are you an up-and-coming Houdini technical artist, someone who is proactive, has great communication skills and a passion for problem-solving? We are looking for a keen technical assistant to help our CFX team with our latest animated feature. 
 

What You’ll Do

  • Work closely with our CFX supervision team and pipeline TDs to identify and debug common issues facing production

  • Troubleshoot common problems with animation deliveries, suggest workarounds and fixes

  • Test and validate new releases of Houdini CFX rigs

  • Assist CFX artists with day-to-day issues and glitches and escalate those issues through the right channels when they aren't immediately addressable

  • Assist with the technical workflow for the CFX department

  • Communicate and promote repeatable, pipeline-based workflows that ensure data security and efficiency throughout the whole production

  • Create and update documentation that supports CFX processes

  • Establish close partnerships with Animation and FX staff and other TD groups

What You’ll Need

  • 6 months of experience on an animated/VFX feature, working as a TA, is desirable but not a requirement

  • Experience with Houdini

  • Experience with cloth, fur and feather tools is preferable

  • Experience using Linux in a production environment is preferable

  • Excellence in proactive problem-solving skills

  • An adaptable approach with the ability to balance your workload, the needs of artists, and production deadlines

  • The ability to efficiently organize and prioritize work across multiple areas under pressure

  • Excellent communication skills, verbal and written

  • Willing to learn and contribute to the success of the team and project

This role is based out of Sydney, Australia. Hybrid Role (Minimum of 3 days a week in the office).

NAS benefits can include medical/dental/vision plans, mental health support, retirement programs, and family-forming benefits, paid leave of absence programs, and paid time away programs to be used for vacation and sick paid time off. See more detail about our benefits here.

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.

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About Netflix

Netflix

Netflix

Public

An online streaming platform that enables users to watch TV shows and movies.

10,001+

Employees

Los Gatos

Headquarters

$280B

Valuation

Reviews

4.2

15 reviews

Work Life Balance

4.2

Compensation

4.5

Culture

3.2

Career

3.8

Management

3.0

65%

Recommend to a Friend

Pros

Very high compensation packages (430k-700k)

Fully remote work opportunities

All cash compensation structure

Cons

Lower compensation than expected in some cases

Difficult interview process

Simple/uninteresting technical problems

Salary Ranges

1,869 data points

Mid/L4

Mid/L4 · Analytics Engineer

7 reports

$274,996

total / year

Base

$211,536

Stock

-

Bonus

-

$274,996

$358,605

Interview Experience

4 interviews

Difficulty

4.0

/ 5

Offer Rate

25%

Experience

Positive 25%

Neutral 25%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

System Design Interview

5

Behavioral Interview

6

Team Matching

7

Final Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit