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Convex Insurance Jobs (NOW HIRING)

... 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 ...

... 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 ...

Software Engineer, CDN (Starlink)

Redmond, WA ยท On-site

$145K - $200K/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 ...

... 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 ...

Showing results 41-60

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
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 - Motion Planning

Latitude AI

Pittsburgh, PA โ€ข On-site

$179K - $268K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

Latitude AI (lat.ai) is building the future of Ford's autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on Ford's all-new Universal Electric Vehicle in 2027.
When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to redefining the relationship between people and their vehicles for millions of customers.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
The Latitude AI Motion Planning team brings all the components of the autonomy stack together. The Motion Planning team takes inputs from perception, prediction, and mapping and plans how to safely yet comfortably navigate complex driving scenarios. This involves routing to the desired destination, making high-level decisions with respect to driver input and other road users (including vehicles, cyclists, pedestrians, etc.), and generating an optimal trajectory for the AV to execute.
What you'll do:
  • Design and develop algorithms in one or more areas of the Motion Planning stack, ranging from route planning, behavior planning, trajectory optimization, decision making, and machine learning
  • Extensively test your algorithms, through unit testing, simulation testing in the cloud, log playback and resim, and on vehicle testing
  • Develop tools for visualization and debugging, and use them to analyze logs from fleet testing
  • Analyze metrics from fleet testing to prioritize next steps
  • Optimize the runtime and memory efficiency of the onboard Motion Planning software
  • Coordinate with other autonomy teams to ensure that Motion Planning is provided the inputs it needs

What you'll need to succeed:
  • The Motion Planning team is looking for deep expertise in either Motion Planning or Software Engineering (or both)
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
  • While breadth is helpful, a depth of knowledge and application experience in a relevant Robotics/ Motion Planning subspecialty is most desirable. Examples of relevant subspecialties include: graph or sampling-based planning in high-dimensional state spaces, computational geometry, behavioral planning and decision making, planning under uncertainty (POMDPs etc.), model-predictive planning and control, convex optimization, reinforcement learning, imitation learning, etc
  • A baseline level of skill in modern C++ programming and software engineering is required for all team members, even Motion Planning domain experts. Python programming experience is also helpful but not required
  • Industry experience writing production-quality, performance-critical code, and maintaining large codebases is desired
  • Strong written and verbal communication skills are required

What we offer you:
  • Competitive compensation packages
  • High-quality individual and family medical, dental, and vision insurance
  • Health savings account with available employer match
  • Employer-matched 401(k) retirement plan with immediate vesting
  • Employer-paid group term life insurance and the option to elect voluntary life insurance
  • Paid parental leave
  • Paid medical leave
  • Unlimited vacation
  • 15 paid holidays
  • Daily lunches, snacks, and beverages available in all office locations
  • Pre-tax spending accounts for healthcare and dependent care expenses
  • Pre-tax commuter benefits
  • Monthly wellness stipend
  • Adoption/Surrogacy support program
  • Backup child and elder care program
  • Professional development reimbursement
  • Employee assistance program
  • Discounted programs that include legal services, identity theft protection, pet insurance, and more
  • Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude's team, mission and career opportunities at lat.ai!
The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
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