---
title: 'Software Engineer, Parallel Scientific Computing at Vorticity Inc.'
canonical: 'https://feeny.ai/job/software-engineer-parallel-scientific-computing-vorticity-inc-redwood-city-cyn3k63c2ymw'
type: 'job'
last_seen: '2026-09-06'
---

# Software Engineer, Parallel Scientific Computing at Vorticity Inc.

- **Company:** Vorticity Inc.
- **Location:** Redwood City, CA
- **Compensation:** $130k–$190k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-10
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/vorticity/ffda1df7-c0a3-483b-8961-4fd8e8e97a28

## Job description

We're building a new class of Scientific Processing Units (SPUs) to push the boundaries of High-Performance Computing (HPC). In this role, you'll develop and optimize the core computational kernels needed to run scientific applications across a wide range of domains on our custom parallel SPU architecture, from simulation and emulation to real hardware.

You'll work across abstraction layers. Starting from the mathematics and algorithms behind an application, building high-level reference implementations, translating them into parallel kernels, and optimizing them against our architecture. You should be comfortable moving between a mathematical description of a problem, C++/Python reference code, low-level parallel software, and the hardware that executes it.

This is not an easy role. It requires passion for understanding how hardware and software work together, the ability to wear multiple hats, strong communication skills, a lot of patience, independence, and, most importantly, zero ego. Why? Because this is the first time something like this has ever been attempted.

## RESPONSIBILITIES

- Develop high-level reference implementations of scientific applications (e.g. finite-difference time-domain methods, computational fluid dynamics, electromagnetic wave propagation, etc.) from mathematical and algorithmic descriptions.
- Implement and parallelize scientific applications using our proprietary Software Development Kit (SDK) across SPU simulation, emulation, and real-hardware environments.
- Develop and optimize performance critical kernels for the SPU architecture.
- Own iterative performance optimization loops, benchmark, profile, identify bottlenecks, implement improvements and repeat, until we reach our performance targets.
- Understand applications across abstraction layers, from their mathematical formulation to their mapping onto parallel hardware.
- Identify opportunities to improve our compilation flow, runtime, hardware utilization, and overall system efficiency.
- Collaborate with architecture and performance teams to analyze bottlenecks and co-design innovative software and hardware solutions.
- Independently identify problems and opportunities, propose next steps, and drive work forward without requiring detailed task by task direction.
- Write clear, concise technical documentation for Vorticity’s engineers and customers.
- Stay current with parallel programming models, High Performance Computing (HPC) architectures, numerical methods, and techniques for mapping scientific workloads onto parallel hardware.

## SKILLS & QUALIFICATIONS

- Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or related field.
- Master's or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or related field.
- 5+ years of experience in modern C++ (CUDA C++ experience strongly preferred) for parallel programming and high-performance computing. Exceptional candidates with fewer years but strong skills are also welcome.
- Ability to understand numerical algorithms and translate mathematical descriptions into working implementations. You don't need to be a mathematician, but a gradient, divergence, stencil, or multidimensional discretization should not scare you.
- Ability and willingness to debug across abstraction layers, from an application or numerical algorithm down through software and into the underlying architecture.
- Strong understanding of computer architecture and the interaction between software and hardware.
- Proficiency with C++, Python, and Linux development environments.
- Excellent written and verbal communication skills.
- Strong ability to work independently and in a team, while taking ownership of ambiguous problems, and determining what needs to be done next.
- Willingness to put in the hard work needed to bring our SPU to life.
- Above all: zero ego.

As passionate scientists and engineers, we are well aware of the plethora of critical problems in the world that cannot be solved because humanity simply does not have enough computing power. To address this, Vorticity is developing a radically new silicon chip architecture and system to dramatically accelerate scientific computing problems.

Vorticity’s mission is to expand human ingenuity. To do that we are building a team of exceptional people to work together on big problems. Join us!

## About Vorticity Inc.

## Company Overview
- **One-liner**: Vorticity is re-imagining scientific computing from custom-built software all the way down to processor architecture, creating a new chip and system purpose-built to accelerate physics-based simulation and data-intensive computation for industries like aerospace, energy, and life sciences.
- **Entity Type**: Private (Series A, 2022 – amount undisclosed; previously raised Y Combinator pre-seed and seed rounds totaling $275K)
- **Headquarters**: Redwood City, California, USA (with additional offices in Mountain View and San Mateo)
- **Founded**: 2019 (Y Combinator Summer 2019 batch)
- **Founders**: Chirath Neranjena (also known as Chirath N.) – aerospace engineer, private pilot, and former Idealab/Y Combinator founder.

## Core Business
- **Primary industry/industries**: Scientific Computing, High-Performance Computing (HPC), Semiconductor Design, Deep Tech
- **Target customers**: B2B / Enterprise – aerospace & defense, energy (oil & gas, fusion), geophysics, life sciences (drug discovery, molecular dynamics), financial modeling
- **Mission statement**: “Expanding human ingenuity by making the impossible solvable” – building the hardware and software foundation to push the boundaries of what humanity can achieve through faster scientific compute.

## Products & Services
- **[Pyrite9 Scientific Processing Unit (SPU)]**: Purpose-built silicon that replaces GPUs for scientific compute, achieving 10x–1000x speedups for solving large-scale partial differential equations (PDEs). The architecture is paired with a custom software stack and distributed system designed for cloud-accessible simulation.
- **Full-Stack Simulation Platform**: End-to-end solution from custom processor to cloud-accessible software, enabling scientists and engineers to run high-fidelity simulations (e.g., molecular dynamics, hypersonic flight, mineral exploration) without needing supercomputers.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total disclosed funding ~$275K (pre-seed and seed from Y Combinator; Series A in 2022 led by an undisclosed investor). Annual revenue not disclosed.
- **Notable Investors/Partners**: Y Combinator (summer 2019 batch) is the most prominent early investor; Series A investor(s) not named.
- **Growth Signals**:
  - Workforce: ~7–10 employees (LinkedIn reports 7, YC reports team size 10) with a ~100% increase in job postings year-over-year as of mid-2025.
  - Expanding into defense, energy, and life sciences with proven technology already deployed in industrial settings.
  - Growing LinkedIn follower count (+21.8% YoY) indicating rising brand awareness in the HPC community.

## Competitive Advantages
- **Custom architecture designed from the ground up for scientific computing** – unlike GPUs (optimized for AI/graphics), the Pyrite9 SPU is built specifically to solve PDEs and run physics simulations at orders-of-magnitude higher throughput.
- **Full-stack ownership** (silicon, compiler, runtime, distributed system) allows deep optimization and tight integration that commodity hardware cannot match.
- **Proven 10x–1000x speedups** over existing solutions, reducing months of compute time to days or hours.
- **Strong moat in national security**: Positioned as a strategic imperative for U.S. scientific computing, with potential government and defense contracts.

## Strategic Focus
- **Advancing U.S. scientific computing** – strengthening the nation’s ability to simulate physical systems for defense, energy independence, and medical breakthroughs.
- **Scaling from prototype to production** – moving past early deployments to broader commercial adoption in aerospace, energy, and life sciences.
- **Expanding the platform** – developing additional layers of software and cloud infrastructure to make scientific computing accessible and scalable for enterprise customers.
- **Hiring across hardware and software** – actively recruiting kernel engineers, applied math library engineers, and other roles to accelerate product development.

## Why Work Here
- **Mission-driven work**: Tackle one of humanity’s hardest problems – unlocking compute for areas like fusion, drug discovery, and hypersonics. Employees report high alignment with the company’s vision of expanding human ingenuity.
- **On-site culture**: Employees work from physical offices in Redwood City and Mountain View. The environment is collaborative, with free daily meals, pet-friendly offices, and onsite parking.
- **Compensation & benefits**: Unlimited PTO, equity (0.25%–0.50% for early hires), performance bonuses, 401(k) with match, comprehensive health/dental/vision insurance, life insurance, and retirement planning support.
- **Tight-knit team**: Small company (under 15 people) where each engineer has outsized impact. The tech stack spans C++, Python, CUDA, SystemVerilog, and Kubernetes – offering exposure to cutting-edge hardware and low-level software.
- **Career growth**: In an early-stage deep-tech startup, employees can grow quickly as the company scales. Recent job postings for kernel and math library engineers indicate a ramp-up in technical hiring.

## Sources
1. [Vorticity Official Website](https://vorticity.xyz)
2. [Vorticity Careers Page](https://jobs.ashbyhq.com/vorticity)
3. [Built In – Vorticity Profile](https://builtin.com/company/vorticity)
4. [Y Combinator – Vorticity](https://www.ycombinator.com/companies/vorticity)
5. [LinkedIn – Vorticity Inc.](https://www.linkedin.com/company/vorticityinc)

## Other roles at Vorticity Inc.

- [Software Engineer, Scientific Computing](https://feeny.ai/job/software-engineer-scientific-computing-vorticity-inc-redwood-city-8jhspwzmy5fs) — Redwood City, CA