Join an Elite Team on the Frontier of Industrial AI
We are a mission-driven team that has developed a revolutionary AI engine. Our goal is to solve the world’s toughest industrial challenges and prove that profitability and sustainability can, and must, go hand-in-hand
Why Join CygnisAI?
Solve High-Stakes Problems
Work on multi-million dollar challenges for the world’s largest industrial companies.
Unparalleled Mentorship
Learn directly from the pioneer who invented our core technology.
Master a Proven Methodology
Go beyond generic data science and become an expert in a high-value industrial AI system.
Make a Foundational Impact
As a member of the founding team, you will shape our product, culture, and success.
Founding Team Opportunities
We’re actively building our core team. Apply if you’re excited about mastering process variability and driving decarbonization!
AI Deployment Engineer
- Deploy our physics-informed AI control layer at client sites.
- Integrate seamlessly with DCS and data historians for real-time process mastery (e.g., furnace stability or emissions control).
- Provide tuning and support to turn compliance costs into profits via closed-loop performance.
- Experience with system integration or deployment tools (e.g., Docker) preferred.
Software Engineer (AI Solutions):
- Build and scale our patented Adaptive Inference Engine into enterprise-grade software.
- Harden algorithms from Dr. Gupta’s breakthroughs (e.g., predictive furnace models) for high-stakes deployments.
- Collaborate on features enabling automatic adaptation to variability in fuels or feedstocks.
- Proficiency in Python and cloud platforms (e.g., AWS) a bonus.
Machine Learning Engineer:
- Train and evolve physics-informed ML models using industrial datasets (e.g., from SOx control or coker units).
- Adapt models to master unmeasurable variables for wins like stable biomass combustion.
- Pioneer closed-loop RL systems for hyper-efficiency.
- Background in ML frameworks (e.g., PyTorch) or data processing helpful.
Domain Expert (Industrial Process Engineer):
- Leverage background in chemical engineering or heavy industry (e.g., refining, minerals processing).
- Inform engine applications and validate models against real-world scenarios (e.g., ore variability or batch deviations in pharma).
- Ensure AI delivers unwavering stability and ESG gains.
- Knowledge of industrial processes or engineering principles advantageous.
Business Development & Partnerships Lead:
- Drive performance-based partnerships by identifying and closing C-suite deals in steel, cement, and refining.
- Quantify value propositions (e.g., unlocking tens of millions from opportunity crudes).
- Build long-term alliances aligning our AI with clients’ decarbonization roadmaps.
- Experience in B2B sales or industry networks a plus.
AI Deployment Engineer:
- Deploy our physics-informed AI control layer at client sites.
- Integrate seamlessly with DCS and data historians for real-time process mastery (e.g., furnace stability or emissions control).
- Provide tuning and support to turn compliance costs into profits via closed-loop performance.
- Experience with system integration or deployment tools (e.g., Docker) preferred.
Software Engineer (AI Solutions):
- Build and scale our patented Adaptive Inference Engine into enterprise-grade software.
- Harden algorithms from Dr. Gupta’s breakthroughs (e.g., predictive furnace models) for high-stakes deployments.
- Collaborate on features enabling automatic adaptation to variability in fuels or feedstocks.
- Proficiency in Python and cloud platforms (e.g., AWS) a bonus.
Machine Learning Engineer:
- Train and evolve physics-informed ML models using industrial datasets (e.g., from SOx control or coker units).
- Adapt models to master unmeasurable variables for wins like stable biomass combustion.
- Pioneer closed-loop RL systems for hyper-efficiency.
- Background in ML frameworks (e.g., PyTorch) or data processing helpful.
Domain Expert (Industrial Process Engineer):
- Leverage background in chemical engineering or heavy industry (e.g., refining, minerals processing).
- Inform engine applications and validate models against real-world scenarios (e.g., ore variability or batch deviations in pharma).
- Ensure AI delivers unwavering stability and ESG gains.
- Knowledge of industrial processes or engineering principles advantageous.
Business Development & Partnerships Lead:
- Drive performance-based partnerships by identifying and closing C-suite deals in steel, cement, and refining.
- Quantify value propositions (e.g., unlocking tens of millions from opportunity crudes).
- Build long-term alliances aligning our AI with clients’ decarbonization roadmaps.
- Experience in B2B sales or industry networks a plus.
