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Magic Patterns

60 Magic Patterns Jobs Hiring Near You

Magic Items

Seamster - Part Time

New York, NY · Remote

$20 - $35/hr

In this role, you'll play a key part in production at Magic Items. You will hand sew leather ... Highly observant with the ability to detect inconsistencies and variations in sewing patterns

Magic Items

Seamster - Part Time

New York, NY · Remote

In this role, youll play a key part in production at Magic Items. You will hand sew leather wallets ... Highly observant with the ability to detect inconsistencies and variations in sewing patterns

Hasbro

Senior Full Stack Engineer II

Renton, WA · On-site

From our genre-defining games like Magic: The Gathering ® and Dungeons & Dragons ® to our growing ... Promote state and GraphQL data patterns, performance budgets, and accessibility aligned with WCAG.

Hasbro

Cloud FinOps Platform Engineer

Renton, WA · On-site

$62.75 - $83.75/hr

From our genre-defining games like Magic: The Gathering ® and Dungeons & Dragons ® to our growing ... Provide guidance on cost-efficient usage patterns aligned with platform standards * Contribute ...

Card Kingdom

Software Development Manager

Seattle, WA · On-site

$185K - $210K/yr

ABOUT US Card Kingdom has served Magic: The Gathering players across the world for over 20 years ... Steward our engineering standards: drive consistency in patterns, conventions, and practices across ...

Hasbro

Senior Full Stack Engineer II

Renton, WA

From our genre-defining games like Magic: The Gathering and Dungeons & Dragons to our growing ... Promote state and GraphQL data patterns, performance budgets, and accessibility aligned with WCAG.

Hasbro

Principal Platform Engineer, AI

Renton, WA · On-site

Whether it's through the strategic depth of Magic: The Gathering ® , the rich storytelling of ... Data platforms (Databricks, Snowflake, etc.) integration, grounding and context patterns that fully ...

Hasbro

Data Platform Engineer

Boston, MA · On-site

$124K - $149K/yr

Whether it's through the strategic depth of Magic: The Gathering ® , the rich storytelling of ... Help maintain and improve platform capabilities - access patterns, environment configurations, and ...

Hasbro

Cloud FinOps Platform Engineer

Renton, WA

$62.75 - $83.75/hr

From our genre-defining games like Magic: The Gathering and Dungeons & Dragons to our growing ... Provide guidance on cost-efficient usage patterns aligned with platform standards * Contribute ...

Bjak

Interaction Designer, HCI

Charleston, WV · On-site

You will help define new patterns from the ground up. What You'll Be Doing * Design detailed ... Our goal is to put in hands of our users a truly magical product Interview process For design roles ...

Anonymous Employer

$72.50 - $93.25/hr

... patterns, relationships, and problems. • Prepare detailed reports for management and other ... in Magic Draw No Magic CAMEO tool. • The candidate must be an expert data modeler. • The ...

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Magic Patterns Jobs Information

Infographic showing various job openings at Magic Patterns in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

Member of Technical Staff, Pre-training Systems

Magic AI Inc.

San Francisco, CA • On-site

$225K - $550K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago

Job description

Magic's mission is to build safe AGI that accelerates humanity's progress on the world's most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal.
About the role
As a Software Engineer on the Pre-training Systems team, you will design and operate the distributed infrastructure that trains Magic's long-context models at scale.
This role focuses on large-scale model training across massive GPU clusters. You will work at the boundary between deep learning and distributed systems, ensuring that training runs are performant, reliable, and reproducible under extreme scale.
Magic's long-context models create non-trivial systems challenges: sustained memory pressure, communication overhead across thousands of devices, long-running jobs that must survive failures, and efficient sequence packing under hardware constraints. You will own the systems that make large-scale pre-training stable and fast.
What you'll work on
  • Scale distributed training across large GPU clusters (data, tensor, pipeline parallelism)
  • Optimize communication patterns and gradient synchronization
  • Improve checkpointing, fault tolerance, and job recovery systems
  • Profile and eliminate performance bottlenecks across compute, networking, and storage
  • Improve experiment reproducibility and orchestration workflows
  • Increase hardware utilization and training throughput
  • Collaborate with Kernels and Research to align model architecture with systems realities
What we're looking for
  • Strong software engineering and distributed systems fundamentals
  • Experience training large models in multi-node GPU environments
  • Deep understanding of parallelism strategies and performance trade-offs
  • Experience debugging cross-layer issues in production ML systems
  • Strong ownership mindset and ability to operate critical infrastructure
  • Track record of improving performance or reliability of large-scale systems
Compensation, benefits, and perks (US):
  • Annual salary range: $225K - $550K
  • Equity is a significant part of total compensation, in addition to salary
  • 401(k) plan with 6% salary matching
  • Generous health, dental and vision insurance for you and your dependents
  • Unlimited paid time off
  • Visa sponsorship and relocation stipend to bring you to SF, if possible
  • A small, fast-paced, highly focused team

Magic strives to be the place where high-potential individuals can do their best work. We value quick learning and grit just as much as skill and experience.
Our culture
  • Integrity. Words and actions should be aligned
  • Hands-on. At Magic, everyone is building
  • Teamwork. We move as one team, not N individuals
  • Focus. Safely deploy AGI. Everything else is noise
  • Quality. Magic should feel like magic

Apply