... convex optimization). * Design collision avoidance and large-scale multi-agent planning (fleet ... Tackle joint optimization across safety, energy, time, and reliability-balancing mission goals with ...
... convex optimization). * Design collision avoidance and large-scale multi-agent planning (fleet ... Tackle joint optimization across safety, energy, time, and reliability-balancing mission goals with ...
Computational Scientist
Spring, TX · On-site
Job Summary : ExxonMobil is one of the world's largest publicly traded energy and chemical ... convex and PDE constrained optimization problems. • Strong proficiency in programming/scripting ...
Computational Scientist
Spring, TX · On-site
Job Summary : ExxonMobil is one of the world's largest publicly traded energy and chemical ... convex and PDE constrained optimization problems. • Strong proficiency in programming/scripting ...
Sr Software Engineer
Manhattan, NY · On-site
$134K - $177K/yr
Required : • 5+ years of experience with Python and JavaScript/TypeScript development • Energy experience and modeling, optimization • Experience with complex algorithm-driven problems: convex ...
Sr Software Engineer
Manhattan, NY · On-site
$134K - $177K/yr
Required : • 5+ years of experience with Python and JavaScript/TypeScript development • Energy experience and modeling, optimization • Experience with complex algorithm-driven problems: convex ...
Sr Software Engineer
New York, NY · On-site
$134K - $176K/yr
Energy experience and modeling, optimization * Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting ...
Quick apply
Sr Software Engineer
New York, NY · On-site
$134K - $176K/yr
Energy experience and modeling, optimization * Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting ...
Sr Software Engineer
$134K - $176K/yr
Energy experience and modeling, optimization * Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting ...
Sr Software Engineer
$134K - $176K/yr
Energy experience and modeling, optimization * Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting ...
... convex optimization). * Design collision avoidance and large-scale multi-agent planning (fleet ... Tackle joint optimization across safety, energy, time, and reliability--balancing mission goals ...
Quick apply
... convex optimization). * Design collision avoidance and large-scale multi-agent planning (fleet ... Tackle joint optimization across safety, energy, time, and reliability--balancing mission goals ...
Quantitative Researcher for Risk and Research Engagement
Chicago, IL · On-site
$150K - $180K/yr
To accomplish our aims, we're leveraging state of the art statistical learning and convex optimization methods (AI) to build the financial rails of our future energy systems that will accelerate the ...
Quantitative Researcher for Risk and Research Engagement
Chicago, IL · On-site
$150K - $180K/yr
To accomplish our aims, we're leveraging state of the art statistical learning and convex optimization methods (AI) to build the financial rails of our future energy systems that will accelerate the ...
Sr Software Engineer
New York, NY · On-site
$134K - $176K/yr
Energy experience and modeling, optimization * Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting ...
Sr Software Engineer
New York, NY · On-site
$134K - $176K/yr
Energy experience and modeling, optimization * Experience with complex algorithm-driven problems: convex/constraint-based optimization problems, statistical modelling including Bayesian model fitting ...
... convex optimization). * Design collision avoidance and large-scale multi-agent planning (fleet ... Tackle joint optimization across safety, energy, time, and reliability--balancing mission goals ...
Quick apply
... convex optimization). * Design collision avoidance and large-scale multi-agent planning (fleet ... Tackle joint optimization across safety, energy, time, and reliability--balancing mission goals ...
... convex optimization). * Design collision avoidance and large-scale multi-agent planning (fleet ... Tackle joint optimization across safety, energy, time, and reliability--balancing mission goals ...
Quick apply
... convex optimization). * Design collision avoidance and large-scale multi-agent planning (fleet ... Tackle joint optimization across safety, energy, time, and reliability--balancing mission goals ...
Build real-time trajectory generation and decision-making for autonomous flight (search-based, sampling, MPC, convex/non-convex optimization). * Tackle joint optimization across safety, energy, time ...
Quick apply
Build real-time trajectory generation and decision-making for autonomous flight (search-based, sampling, MPC, convex/non-convex optimization). * Tackle joint optimization across safety, energy, time ...
AI Solutions Architect
Houston, TX · On-site
... and energy-domain digital transformation. Key Responsibilities: * Conduct exploratory and ... Computational intelligence and non-convex optimization techniques. * Time-series analysis ...
Quick apply
AI Solutions Architect
Houston, TX · On-site
... and energy-domain digital transformation. Key Responsibilities: * Conduct exploratory and ... Computational intelligence and non-convex optimization techniques. * Time-series analysis ...
Computational Scientist
Spring, TX · On-site
As one of the world's largest publicly traded energy and chemical companies, we are powered by a ... Experience in formulating and solving convex and PDE constrained optimization problems. * Strong ...
Computational Scientist
Spring, TX · On-site
As one of the world's largest publicly traded energy and chemical companies, we are powered by a ... Experience in formulating and solving convex and PDE constrained optimization problems. * Strong ...
As one of the world's largest publicly traded energy and chemical companies, we are powered by a ... Experience in formulating and solving convex and PDE constrained optimization problems. * Strong ...
As one of the world's largest publicly traded energy and chemical companies, we are powered by a ... Experience in formulating and solving convex and PDE constrained optimization problems. * Strong ...
Computational Scientist
Spring, TX · On-site
As one of the world's largest publicly traded energy and chemical companies, we are powered by a ... Experience in formulating and solving convex and PDE constrained optimization problems. * Strong ...
Computational Scientist
Spring, TX · On-site
As one of the world's largest publicly traded energy and chemical companies, we are powered by a ... Experience in formulating and solving convex and PDE constrained optimization problems. * Strong ...
Sr. Engineer, Advanced Process Controls
Painted Post, NY · On-site
$82K - $108K/yr
Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy ... Foundation in numerical optimization (LP, NLP, MILP, convex optimization) and ability to formulate ...
Sr. Engineer, Advanced Process Controls
Painted Post, NY · On-site
$82K - $108K/yr
Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy ... Foundation in numerical optimization (LP, NLP, MILP, convex optimization) and ability to formulate ...
Sr. Engineer, Advanced Process Controls
$82K - $108K/yr
Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy ... Foundation in numerical optimization (LP, NLP, MILP, convex optimization) and ability to formulate ...
Sr. Engineer, Advanced Process Controls
$82K - $108K/yr
Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy ... Foundation in numerical optimization (LP, NLP, MILP, convex optimization) and ability to formulate ...
Data Scientist
Vancouver, WA · On-site
$65 - $70/hr
... programming and convex optimization, nonlinear programming). Unsupervised Learning (e.g ... Energy/utility industry experience. Experience with Power BI (Microsoft Business Intelligence)
Data Scientist
Vancouver, WA · On-site
$65 - $70/hr
... programming and convex optimization, nonlinear programming). Unsupervised Learning (e.g ... Energy/utility industry experience. Experience with Power BI (Microsoft Business Intelligence)
Machine Learning Engineer
San Diego, CA · On-site
$160K - $215K/yr
Familiarity with optimization and estimation techniques such as convex optimization, Kalman ... You'll feel the energy when you walk in our door - we work hard, we have fun and we have ambitious ...
Machine Learning Engineer
San Diego, CA · On-site
$160K - $215K/yr
Familiarity with optimization and estimation techniques such as convex optimization, Kalman ... You'll feel the energy when you walk in our door - we work hard, we have fun and we have ambitious ...
AI Solutions Architect
Menlo Park, CA · On-site
$228K - $231K/yr
... Energy domain. Communicate sophisticated AI concepts to management, clients, and the business ... convex optimization techniques; (8) Time-series Analysis techniques with Statistics and AI; (9) ...
AI Solutions Architect
Menlo Park, CA · On-site
$228K - $231K/yr
... Energy domain. Communicate sophisticated AI concepts to management, clients, and the business ... convex optimization techniques; (8) Time-series Analysis techniques with Statistics and AI; (9) ...
Convex Energy information
See salary details
$38.5K - $48.3K
6% of jobs
$48.3K - $58.1K
6% of jobs
$58.1K - $68K
11% of jobs
$69K is the 25th percentile. Wages below this are outliers.
$68K - $77.8K
15% of jobs
The median wage is $85K / yr.
$77.8K - $87.6K
16% of jobs
$87.6K - $97.4K
12% of jobs
$97.4K - $107.2K
5% of jobs
$110.4K is the 75th percentile. Wages above this are outliers.
$107.2K - $117K
12% of jobs
$117K - $126.9K
5% of jobs
$126.9K - $136.7K
5% of jobs
$136.7K - $146.5K
6% of jobs
$38.5K
$92.3K
$146.5K
How much do convex energy jobs pay per year?
What are some typical challenges faced by energy analysts at Convex Energy, and how does the team support overcoming them?
What is the difference between Convex Energy vs Solar Energy Technician?
| Aspect | Convex Energy | Solar Energy Technician |
|---|---|---|
| Required Credentials | Relevant certifications, technical training in energy systems | Certifications in solar installation and safety |
| Work Environment | Office, fieldwork, energy project sites | Solar panel installation sites, maintenance locations |
| Employer & Industry Usage | Energy companies, renewable energy firms | Solar installation companies, renewable energy sector |
Convex Energy professionals typically focus on energy project development, management, and consulting, often requiring broader technical knowledge. Solar Energy Technicians specialize in installing, maintaining, and repairing solar systems. While both roles work within the renewable energy industry, Convex Energy roles are more project-oriented, whereas Solar Energy Technicians are hands-on installers and technicians.
What does a Convex Energy do?
What are the key skills and qualifications needed to thrive as an Energy Trader at Convex Energy, and why are they important?

$225K - $280K/yr
Other
Medical, Dental, Vision, PTO
Posted 17 days ago
Job description
Zipline operates the world's largest autonomous logistics system (ground or air) - and in the coming year, we will be hyper-scaling from thousands to tens of thousands of carefully coordinated drone deliveries in several dense, dynamic U.S. metros. Our Autonomy Motion Planning team is looking for a Senior/Staff Software Engineer who is passionate about developing autonomous systems for the real world. This role will explore cutting-edge approaches to decision making and trajectory planning that will enable more accurate and timely deliveries, putting you in the position to make critical product decisions that will shape our future architectures.
What You'll DoBuild real-time trajectory generation and decision-making for autonomous flight (search-based, sampling, MPC, convex/non-convex optimization).
Design collision avoidance and large-scale multi-agent planning (fleet deconfliction, airspace rules, traffic management) that scales to 10,000+ flights/day.
Tackle joint optimization across safety, energy, time, and reliability-balancing mission goals with vehicle/airspace constraints.
Plan in uncertain environments with complex dynamics: chance-constraints, robustness to wind/turbulence, degraded sensors, and partial observability.
Extend the autonomy stack for new aircraft and payloads; define clean interfaces with perception and controls.
Prove it before flight: scenario libraries, SIL/HIL, large-scale sim, log replay, and fault-injection.
Mine real fleet data to validate safety metrics (separation, risk, intervention rate), improve models, and burn down long-tail failure modes.
Continuously reduce cost/latency (vectorization, warm starts, smart heuristics) while raising reliability.
- Master's degree in Computer Science or related field and 3+ years of experience building software for safety-critical systems (aerospace/AV/robotics/medical).
Strong in Rust/C++/C for real-time, fault-tolerant code on embedded/Linux.
Depth in planning & search (A*/ anytime / RRT*/sampling), trajectory optimization/MPC, or multi-agent deconfliction-shipped on real robots/vehicles.
Hands-on with simulation at scale, SIL/HIL, log replay, and metrics-driven validation.
Evidence of shipping production-grade autonomy through ambiguous, noisy conditions-owning the last mile to reliability.
Systems thinker who collaborates tightly with perception, controls, and flight ops; crisp docs and design reviews.
Impact at scale: Your planner won't benchmark in isolation-it will fly thousands of missions/day delivering essential goods.
Technical frontier: Real-time multi-agent autonomy, joint optimization, and robustness under uncertainty at a scale few have seen.
Ownership: High-leverage IC role-your decisions shape Zipline's flight stack and the behavior of a global fleet.
Category leadership: Help define the standard for safe, reliable autonomous flight in the real world.
What Else You Need to Know Â