ZipRecruiter

Log In

1

Convex Insurance Jobs (NOW HIRING)

SpaceX

Software Engineer (Starlink Mobile)

Redmond, WA

$145K - $175K/yr

... or convex optimization * Developed, debugged, and deployed software that has been used in real ... and long-term disability insurance, life insurance, paid parental leave, and various other ...

SpaceX

Software Engineer, CDN (Starlink)

Palo Alto, CA · On-site

$145K - $210K/yr

... convex optimization. * Developed, debugged, and deployed scalable software that has been used in ... and long-term disability insurance, life insurance, paid parental leave, and various other ...

SpaceX

Sr. Software Engineer, CDN (Starlink)

Palo Alto, CA · On-site

$175K - $240K/yr

... convex optimization. * Developed, debugged, and deployed scalable software that has been used in ... and long-term disability insurance, life insurance, paid parental leave, and various other ...

SpaceX

Sr. Software Engineer, CDN (Starlink)

Redmond, WA · On-site

$165K - $265K/yr

... convex optimization. * Developed, debugged, and deployed scalable software that has been used in ... and long-term disability insurance, life insurance, paid parental leave, and various other ...

previous pagenext page

Showing results 21-40

All JobsConvex Insurance Jobs

Convex Insurance information

See salary details

$31K

$58.2K

$86.5K

How much do convex insurance jobs pay per year?

As of Aug 8, 2026, the average yearly pay for convex insurance in the United States is $58,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What is the difference between Convex Insurance vs Insurance Underwriter?

AspectConvex InsuranceInsurance Underwriter
CredentialsTypically requires insurance licenses, industry certificationsRequires similar licenses, certifications like CPCU or ARM
Work EnvironmentOffice-based, collaborative teams, insurance companies or brokersOffice or remote, assessing risk for insurance policies
Industry UsageInsurance provider, broker, or MGAInsurance companies, underwriting firms
Job FocusDeveloping insurance products, managing riskEvaluating risk, setting policy terms, approving coverage

Convex Insurance and Insurance Underwriters both operate within the insurance industry, often requiring similar credentials and working in office environments. While Convex Insurance focuses on developing insurance solutions and managing risk at a corporate level, Insurance Underwriters primarily evaluate individual risks to determine policy terms. Understanding these differences helps job seekers identify the right career path within the insurance sector.

What are some common challenges faced by underwriters at Convex Insurance, and how can new hires effectively navigate them?

Underwriters at Convex Insurance often face challenges such as evaluating complex risks, adapting to evolving regulatory requirements, and balancing profitability with customer satisfaction. New hires can navigate these challenges by proactively seeking mentorship from experienced colleagues, participating in ongoing training programs, and staying updated on industry trends and compliance standards. Collaboration with actuaries, claims teams, and brokers is key to making informed decisions and building strong client relationships. Embracing technology and data analytics tools provided by the company can also streamline workflows and improve risk assessment accuracy.

What does convex insurance do?

Convex Insurance is a company that provides insurance products and risk management solutions, often focusing on specialty lines such as cyber, professional liability, and property insurance. Employees in related roles may analyze risks, develop policies, and use industry tools to assess coverage needs and claims. The company operates in a competitive insurance environment requiring strong analytical and communication skills.

What is Convex Insurance?

Convex Insurance is a specialty insurance and reinsurance company that provides coverage for complex and large-scale risks. Founded in 2019, Convex operates in the London and Bermuda insurance markets, offering products across property, casualty, marine, energy, aviation, and reinsurance lines. The company is known for its experienced team, innovative underwriting, and focus on tailored solutions for clients' unique needs. Convex serves a global client base, helping businesses manage risk and recover from unforeseen events.

What are the key skills and qualifications needed to thrive as an insurance underwriter at Convex Insurance, and why are they important?

To thrive as an Insurance Underwriter at Convex Insurance, you need strong analytical skills, attention to detail, and a solid understanding of risk assessment, typically backed by a degree in finance, business, or a related field. Familiarity with underwriting software, risk modeling tools, and industry certifications such as ACII (Associate of the Chartered Insurance Institute) is highly valuable. Excellent communication, negotiation, and decision-making skills help in building client relationships and collaborating with brokers and other stakeholders. These abilities ensure accurate risk evaluation, profitable portfolios, and effective client service in a competitive insurance market.
More about Convex Insurance jobs
What job categories do people searching Convex Insurance jobs look for? The top searched job categories for Convex Insurance jobs are:
Convex Insurance jobs near you
Infographic showing various Convex Insurance job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $58,198 per year, or $28 per hour.

(Senior) Software Engineer, Deep Learning

pony.ai

Fremont, CA • On-site

$140K - $280K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024.

Responsibility
  • Work with experts in the field of self-driving vehicles on software architecture and design, system and module design, evaluation metrics, specification and implementation of test and regression frameworks.
  • Design and develop large-scale foundation models trained on vast of real world data
  • Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems; scale them to data pipelines; and streamline them to run in real-time on the cars.
  • Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs)
  • Optimize deep learning models to run robustly under tight run-time constraints.

Requirements

  • Master in Computer Science, or at least 2 years of equivalent industry experience in similar technical fields.
  • Solid understanding of data structures, algorithms, parallel computing, code optimization and large scale data processing.
  • Experience in applied machine learning including data collection and analysis, evaluation and feature engineering.
  • Expertise in C++/Python.
  • Strong communication skills and team spirit.
Preferred Experience
  • PhD in Deep Learning, Machine Learning, Robotics, Natural Language Processing, or similar technical field of study.
  • Publications on top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/ICLR/AAAI/IJCV/PAMI
  • Experience in applying ML/DL for behavior prediction, imitation learning, motion planning.
  • Experience in deploying deep learning algorithms for real time applications, with limited computing resources.
  • Experience in convex optimization, computational geometry or linear algebra.
  • Experience in GPU/CUDA/TensorRT
Compensation and Benefits

Base Salary Range: $140,000 - $280,000 Annually

Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units.

Also, we provide the following benefits to the eligible employees:

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (Traditional and Roth 401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Free Food & Snacks