PsiQuantum · 4 months ago
Senior Software Engineer, Control & Calibration
Palo Alto, California, United States
Full-time
Onsite
Senior Level
$156K/yr - $205K/yr
5+ years expPsiQuantum is on a mission to build the first real, useful quantum computers. As a Senior Software Engineer in Calibration & Control, you will design and implement calibration algorithms and control software to ensure the optimal performance of quantum processors.
ComputerHardwareQuantum ComputingSemiconductorSoftware
Responsibilities
Architect and implement calibration and adaptive control software in Rust (no-std + async), C++20, and Python targeting x86, GPUs, DPUs, and embedded MCUs
Design closed-loop optimization algorithms (e.g., Bayesian, stochastic gradient descent, ADAM) that maximize system performance and stability under drift and environmental noise
Integrate with high-speed fabrics: libfabric, RDMA (RoCEv2/GDR), and FPGA PCIe DMA endpoints
Build scalable simulation/emulation harnesses (Python, Rust, cuQuantum) to de-risk algorithms before system bring-up
Implement hooks for observability metrics, traces, SLOs and partner with sibling teams to integrate into our observability infrastructure
Collaborate daily with physics, validation, firmware, and FPGA teams to co-design HW/SW interfaces and define calibration priorities
Conduct rigorous code reviews, design reviews, and root-cause analyses; uphold our bar for deterministic, safety-critical code
Qualification
Required
5+ years professional software engineering; 3+ years in feedback-control, calibration, robotics, or analogous real-time domains
Fluency in Python or Julia, particularly in the context of scientific computing, AI/ML, or signal processing
Fluency in Rust and/or C++17+; comfortable writing lock-free, wait-free, and numerically stable code paths
Proven track record delivering production systems with real-time or ultra-low-latency requirements
Hands-on experience interfacing with hardware over PCIe, Ethernet, or custom serial buses; confident reading schematics & timing diagrams
Working knowledge of Linux internals (irq, cgroups, NUMA, hugepages) and high-performance networking stacks
Strong foundation in one or more of: quantum information processing, artificial intelligence, robotics, control theory, optimization, signal processing, or experimental physics
B.S. in CS, EE, Physics, or related discipline (or equivalent practical experience)
Preferred
M.S./Ph.D. focused on numerical optimization, control systems, photonics, computer science, or quantum information
Demonstrated experience accelerating numerical Python workflows using Mojo, Jax, PyTorch, or similar
Experience with sub-nanosecond clock-sync protocols
Familiarity with FEC and/or QEC (forward error correction / quantum error correction) concepts, stabilizer circuits, fusion-based architectures, or tensor-network simulation
On-device ML for adaptive calibration (Gaussian processes, RL bandits)
GPU / CUDA-accelerated numerical kernels (cuBLAS/cuFFT/cuQuantum) and/or GPU-Direct RDMA pipelines
Contributions to open-source control or scientific-computing projects
Benefits
Full time roles are eligible for equity and benefits.
Company
PsiQuantum
PsiQuantum focuses on developing a scalable quantum computer using photonic qubits.
501-1000 employees
H1B Sponsorship
PsiQuantum has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (12)
2024 (10)
2023 (4)
2022 (7)
2021 (15)
2020 (5)
Funding
Current Stage
Late StageTotal Funding
$2.3BKey Investors
BlackRockAtomicoFounders Fund
2025-09-10Series E· $1B
2025-05-30Series Unknown· $22M
2024-11-05Secondary Market
Leadership Team
Peter Shadbolt
Co-founder and Chief Strategy Officer
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