1,801,868open jobs
103,965companies
271,759added this week
Browse all
Salary
$120k – $180k per year
Location
In office (San Francisco)
Seniority
Junior · 1+ year exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Aug 28, 2026.

Overview
Company
Impact
Profile match
Conductor Quantum is a Y Combinator-backed deep tech software company building AI-driven operating and calibration platforms for quantum computing hardware. The company engineers low-level control software designed to automate the complex, manual tuning and operational bring-up of quantum processors across hardware architectures like silicon spin qubits, superconducting transmons, and neutral atom systems.
Backed by Y Combinator

Conductor Quantum is building quantum superintelligence.

Quantum superintelligence is an AI that uses quantum computers to surpass the capabilities of humanity's greatest minds. We are closer to that inflection point than most people realize. Frontier models are approaching general intelligence, and AI can already generate quantum circuits faster than humans can write them. The question is no longer whether quantum and AI converge; it is who builds the infrastructure to make that convergence reliable, scalable, and useful.

That infrastructure starts with the hardware. The biggest bottleneck in quantum computing today is not qubit count; it is the manual configuration that keeps those qubits from being usable. Our software automates calibration and operations across qubit platforms, turning raw hardware into a stable, ready-to-run platform accessible through a simple chat interface. By solving that bottleneck, we are enabling thousands, and eventually billions, of qubits to operate at scale.

The result is a quantum computer as easy to use as ChatGPT. The first billion users are coming. The majority, we believe, will be AI agents.

Why now

Today, AI generates production code faster and more reliably than most of the world's software engineers. Code is math; math is an instruction set; an instruction set is a quantum circuit. AI is already generating quantum circuits. It just needs reliable hardware to run them on, well-calibrated qubits to use, and a feedback loop tight enough to discover new algorithms autonomously.

The world's most capable AI models are being pointed at B2B SaaS. We are pointing ours at the frontier of science.

Role overview

You will work across the full trapped ion stack: from developing the calibration that makes an ion trap run itself, all the way to hosting it online as a platform that human researchers and AI agents can build on. This is a high-impact, high-ownership role. You will define best practices, influence product strategy, and help lay the foundation for Conductor Quantum's culture and growth.

Key responsibilities

Ion loading and cooling

Develop the routines that carry a system from an empty trap to a cold, ordered ion chain. Drive up loading reliability, Doppler and sideband cooling, and chain lifetime. Cut the time it takes to reach a chain that is ready to run.

Qubit control and characterization

Push single-qubit and Mølmer-Sørensen two-qubit gates to the fidelity our partners need. Calibrate, benchmark, and know whether the remaining error is coming from motional heating, laser noise, or mode structure. Own shuttling fidelity where the system uses it, including the electrode waveforms that move ions without heating them.

Calibration automation

Encode expert tuning into software the platform runs on its own. Close the loop with the software and machine learning teams so calibration recovers without a physicist in the room.

System performance and control stack

Develop what keeps a system stable and online. Diagnose micromotion, mode drift, ion loss, and fidelity degradation, and define the monitoring and recovery a trapped ion system needs to run unattended. Write or adapt control software for acousto-optic modulators, arbitrary waveform generators, direct digital synthesizers, field-programmable gate arrays, and multichannel direct current voltage sources. Build the drivers and abstractions that let one control stack speak to many systems.

Collaboration and system integration

Work closely with physicists, machine learning engineers, and backend developers to integrate hardware, software, and data pipelines into a unified quantum control stack. Provide feedback on usability, stability, and performance from a hardware and systems perspective.

First 30 / 60 / 90 days

30 days

  • Get fluent in the calibration software stack and understand how it maps to trapped ion hardware.
  • Develop your first calibration sequence end to end, from ion loading to two-qubit gate fidelity.
  • Sit with customers and partners to see where the platform breaks down for them. Pick the friction point that annoys you most.

60 days

  • Develop a full calibration cycle end to end, from an empty trap to two-qubit gates.
  • Ship your first contribution to the automated calibration routines. Start with cooling, single-qubit gates, or Mølmer-Sørensen two-qubit gates.
  • Fix the friction point you found in your first month, and propose the highest leverage things the team can do in trapped ions.

90 days

  • Have at least one calibration improvement in production that has moved a key metric. Two-qubit gate fidelity, heating rate, and time to a ready chain are examples of what we track.
  • Lead trapped ion operations at Conductor.
  • Drive the control and calibration roadmap, including which systems we bring onto the platform next and whether the control stack transfers between them.

The team

We are a small, passionate founding team of quantum physicists, hardware engineers, and machine learning experts. Our founders, Brandon and Joel, met each other at Oxford during their PhDs working on AI for quantum computing. There they saw first-hand that calibration and control is a core bottleneck to scaling quantum computers.

This is your opportunity to do the best work of your life as part of that founding team.

Who we are looking for

High intelligence, high energy, and high integrity. Obsessive about where the error budget goes. Relish the challenge and chaos of real hardware. People who are hungry to change the world and do not need to be told what to do next.

Perks

  • Free healthcare, dental, and vision
  • Work on the most important technical problem of our generation
  • Two 30-minute conversations with the founders.
  • A technical round covering system design, coding, and physics and math.
  • A paid two-day in-person trial with the team.
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,801,868 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Industrial Engineering
Similar stack
Same company
San Francisco
≈ $61k – $112k per year (Estimated) • In office • 3+ years exp • PhD • Dallas
Management
Outlook
Microsoft Office
Apply
≈ $73k – $133k per year (Estimated) • In office • Full-Time • 3+ years exp • Glacier
Apply
$115k – $170k per year • In office • Full-Time • 4+ years exp • Bachelor's Degree • Los Angeles
DevOps
AWS
Design
SolidWorks
Apply
≈ $40k – $81k per year (Estimated) • In office • Internship • Bachelor's Degree • Long Beach
Mobile
Material Design
Cybersecurity
NIST 800-171
Design
AutoCAD
Apply
≈ $70k – $131k per year (Estimated) • Equity • Remote (United States) • Full-Time • 3+ years exp • High School Diploma • Reston
Design
AutoCAD
Apply
Cloud Engineer 11 days ago
In office • Full-Time • Bachelor's Degree • Bangkok
Python
PowerShell
AI/ML
Machine Learning
DevOps
Terraform
GCP
CloudFormation
Azure
AWS
Apply
≈ $21k – $43k per year (Estimated) • Remote (India) • Contractor
Python
SQL
Databases
Databricks
AI/ML
Hadoop
Spark
Airflow
Scikit-learn
TensorFlow
Pandas
PyTorch
Amazon SageMaker
Machine Learning
DevOps
AWS
AWS Lambda
Amazon EC2
Amazon S3
Apply
$170k – $190k per year • Remote (likely United States) • 12+ years exp
AI/ML
Copilot
Cursor
Claude Code
Model Context Protocol
Function Calling
AI Agents
LLM
RAG
Human-in-the-Loop
LLM Guardrails
Agentic Workflows
Tool Use
DevOps
Azure
CI/CD
Cybersecurity
HIPAA
Apply
≈ $43k – $85k per year (Estimated) • In office • 1+ year exp • Indianapolis
Python
PowerShell
DevOps
Windows
Design
AutoCAD
Apply
≈ $90k – $175k per year (Estimated) • In office • 5+ years exp • Indianapolis
Python
PowerShell
DevOps
VMWare
Azure
Windows Server
Windows
DNS
DHCP
Cybersecurity
Active Directory
Apply
$120k – $180k per year • Equity 0.2–1.5% • In office • Full-Time • 1+ year exp • San Francisco
Python
AI/ML
ChatGPT
AI Agents
Human-in-the-Loop
Machine Learning
DevOps
Error Budget
Apply
$120k – $180k per year • Equity 0.2–1.5% • In office • Full-Time • 1+ year exp • San Francisco
Python
AI/ML
ChatGPT
AI Agents
Machine Learning
DevOps
Error Budget
Apply
$120k – $180k per year • Equity 0.2–1.5% • In office • Full-Time • 1+ year exp • San Francisco
Python
AI/ML
ChatGPT
AI Agents
Machine Learning
DevOps
Error Budget
Apply
$55k – $75k per year • Equity 0–0.2% • In office • Full-Time • Albuquerque
Python
AI/ML
ChatGPT
AI Agents
Machine Learning
Apply
AI Systems Engineer 3 days ago
$120k – $180k per year • Equity 0.2–1.5% • In office • Full-Time • San Francisco
Python
Databases
Redis
AI/ML
ChatGPT
Reinforcement Learning
AI Agents
Machine Learning
Frontend
Next.js
DevOps
GCP
Azure
AWS
Apply
≈ $134k – $248k per year (Estimated) • Equity • Remote (United States) • Full-Time • 10+ years exp • Master's Degree • San Francisco
AI/ML
TensorFlow
Triton
TorchServe
Feature Store
Machine Learning
DevOps
GCP
Platform Engineering
Apply
$131k – $145k per year • Equity • Hybrid • 4+ years exp • Bachelor's Degree • San Francisco
SQL
Apply
≈ $146k – $277k per year (Estimated) • In office • 5+ years exp • Houston • New York • San Francisco • Seattle
Python
AI/ML
Edge AI
DevOps
Prometheus
Grafana
Linux
BGP
OSPF
Apply
$86k – $107k per year • Hybrid • Full-Time • 2+ years exp • Bachelor's Degree • San Francisco • Washington
Cybersecurity
GDPR
Marketing
Salesforce
LinkedIn
SpaceTech
QGIS
Apply
$74k – $92k per year • Hybrid • Full-Time • 2+ years exp • Bachelor's Degree • Arlington • San Francisco • Washington
Cybersecurity
GDPR
Marketing
Salesforce
LinkedIn
SpaceTech
QGIS
Apply
See all jobs
This is one of many
1,801,868 more open roles from verified company boards, updated every day.