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HomeCompaniesRekaMember of Technical Staff (GPU Performance Engineer)

Member of Technical Staff (GPU Performance Engineer)

Reka · US, UK, Singapore, Remote · Remote · Active · Ashby

Job facts

FieldValue
CompanyReka
TitleMember of Technical Staff (GPU Performance Engineer)
Normalized title-
Department / teamTechnical / Technical
LocationUS, United States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Reka.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in US.Open
Department jobsActive postings in Technical.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyReka
Source332778dc-90c6-4cfe-905d-8f8a01d4bc6a
ATS providerAshby

Description

We are seeking an experienced GPU Performance Engineer with a strong background in Python and large-scale model training. In this role, you will design and implement improvements to our training infrastructure and directly contribute to technical decisions that optimize performance of our models. You will also work on post-training processes, including reinforcement learning and fine-tuning. Furthermore, you will contribute to improving the efficiency and scalability of our model serving infrastructure. Ideal Experience Strong engineering skills with fluency in Python and PyTorch (or other frameworks). Proven experience implementing and training large deep learning models. Experience writing and debugging low-level GPU code (CUDA, C++). Experience scaling up GPU jobs using large-scale compute clusters (e.g., Slurm or Kubernetes). Demonstrated ability to analyze and optimize the performance of GPU-accelerated workloads, including profiling, identifying bottlenecks, and implementing performance tuning techniques. Reka's Mission Reka's mission is to build useful multimodal artificial intelligence and use it to empower organizations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to numerous breakthroughs in AI over the past decade. Why Reka? An Elite Team: Collaborate with top-tier engineers, researchers, and operators from renowned organizations like Google DeepMind, Facebook AI Research (FAIR), and successful startups, driving innovation in AI technology. Cutting-edge Infrastructure: Train state-of-the-art models leveraging the latest software and hardware, expanding the frontier of innovation in AI infrastructure development. Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity. Generous Benefits: Enjoy five weeks of paid leave to recharge, comprehensive healthcare benefits (including vision and dental), and additional perks that support your well-being. Visa Support: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.

Full job record

Job IDdf29ea2a0cfe5ed1bc63b47876afb6ed59c6e27f
Org ID2b49b48f-e15f-4f03-82fc-63fe32bdb00b
Source ID332778dc-90c6-4cfe-905d-8f8a01d4bc6a
Board ID332778dc-90c6-4cfe-905d-8f8a01d4bc6a
Providerashby
Provider Job Key6595a48b-8dfc-479d-ba2a-0bf9d188ec4d
TitleMember of Technical Staff (GPU Performance Engineer)
Normalized Title
Statusactive
Activeyes
Location TextUS, UK, Singapore, Remote
DepartmentTechnical
TeamTechnical
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
CityUS
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/reka/6595a48b-8dfc-479d-ba2a-0bf9d188ec4d
Apply URLhttps://jobs.ashbyhq.com/reka/6595a48b-8dfc-479d-ba2a-0bf9d188ec4d/application
First Seen At2026-05-29 05:03:52Z
Last Seen At2026-06-06 19:52:14Z
Last Checked At2026-06-06 19:52:14Z
Last Changed At2026-05-29 05:03:52Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=reka/date=2026-06-06/2026-06-06T19-52-13-989Z-4ed87db2ef00220f5c3b0d6e9d2dacc6116518e6848a8aace428d9078ac537e9.json
Event Fields
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}
Parsed Structured
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Extensions
{}
Native Structured
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  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Technical",
  "publishedAt": null,
  "workplaceType": "Remote",
  "employmentType": "FullTime",
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}
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GET https://api.bluedoor.sh/job-postings/v1/orgs/2b49b48f-e15f-4f03-82fc-63fe32bdb00bJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/332778dc-90c6-4cfe-905d-8f8a01d4bc6aJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/df29ea2a0cfe5ed1bc63b47876afb6ed59c6e27f/eventsJSON