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Software Engineer
Alljoined · San Francisco · On Site · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Alljoined |
| Title | Software Engineer |
| Normalized title | - |
| Department / team | Engineering / Engineering |
| Location | San Francisco, CA, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Alljoined. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Alljoined |
| Source | 77fef1e5-0ecc-496f-9e4e-ece4af594b32 |
| ATS provider | Ashby |
Description
About Alljoined Alljoined is creating a future where humans are fully understood and augmented by technology. Our work solves the communication bottleneck between humans and computers by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets to decode multimedia input, eventually moving to internal thought. We are state-of-the art in capabilities and are fully vertically integrated. Our goal is to develop a general consumer interface to completely transform how we can live our lives.
We are actively growing our founding engineering team to build the underlying infrastructure that makes this ambitious future a reality.
About the Role As a Software Engineer , you will build the infrastructure that allows us to do high quality and fast research. You'll be owning and developing pipelines that process massive EEG datasets and writing the infrastructure that powers our physical experiments and data analysis. You will be powering work allowing for neural decoding technology while working alongside world-class researchers pushing the boundaries of what's possible in brain-computer interfaces.
You might be a good fit if you Have 5+ years of production software engineering experience with deep expertise in Python and systems-level architecture.
Have built and maintained high-performance data pipelines for processing and storing massive datasets.
Are comfortable building the infrastructure and front-end tools required to visualize experimental stimuli in real-time.
Have a background in managing entire software stacks, cloud infrastructure, and dependency management.
Are capable of working across the full stack to debug low-level system performance issues or architect new foundational services.
Enjoy owning the entire technical lifecycle of a project, from initial design to production deployment and maintenance.
Strong candidates may have Experience developing internal libraries, SDKs, or tooling that powers machine learning and computational neuroscience workflows.
Built core Python infrastructure like interpreters, package ecosystems, typing tools, or maintained widely-used open-source Python developer tools with significant adoption
Expertise in Python performance optimization, including experience with Cython, profiling tools, or optimizing Python runtimes
Compensation Range $140,000 - $200,000/year
Competitive equity compensation at a seed stage startup
While this represents our expected range based on market data, final compensation will be determined based on your specific skills and experience and may be outside this range.
Benefits Comprehensive health, vision, dental insurance
Options for housing support
Visa sponsorship
Unlimited PTO
3% 401k matching
Full job record
| Job ID | ca995cac155b56de5b1b2c9cd6ef01733b34c42d |
| Org ID | f036d896-cb89-42ee-a045-f4ae189e1118 |
| Source ID | 77fef1e5-0ecc-496f-9e4e-ece4af594b32 |
| Board ID | 77fef1e5-0ecc-496f-9e4e-ece4af594b32 |
| Provider | ashby |
| Provider Job Key | 646373a0-8314-439e-8c90-24620a6094bd |
| Title | Software Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Francisco |
| Department | Engineering |
| Team | Engineering |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | San Francisco |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.ashbyhq.com/alljoined/646373a0-8314-439e-8c90-24620a6094bd |
| Apply URL | https://jobs.ashbyhq.com/alljoined/646373a0-8314-439e-8c90-24620a6094bd/application |
| First Seen At | 2026-05-29 06:04:05Z |
| Last Seen At | 2026-06-06 09:16:25Z |
| Last Checked At | 2026-06-06 09:16:25Z |
| Last Changed At | 2026-05-29 06:04:05Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=alljoined/date=2026-06-06/2026-06-06T09-16-20-283Z-d0d65581e170613f100219ed1489fc4d1e0afc60e3bbc6e428dc579e14415206.json |
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