2909 Application Engineer jobs in Jersey City,NJ

Opportunity for annual merit pay increases

401K with 60% Match up to 6% of salary

Paid company training

Medical, Dental, Vision, Life, Critical Illness, and Hospital Indemnity Coverage

Company Paid Short Term and Long-Term Disability

Paid vacation, holiday, and sick time

Educational Assistance

Wide variety of employee discounts on travel, equipment, and more!

Minimum 5 years of experience estimating in the fire alarm and/or security/low voltage field.

Education BA Business/ BS Engineering/MS Engineering or applicable amount of experience in the appropriate field may be substituted for the educational background

Strong understanding of relevant codes, including NFPA and NEC.

Ability to read and interpret detailed construction drawings and scope documentation.

Experience working with major manufacturers (e.g., Silent Knight, Firelite, Bosch, Hanwha, Avigilon, Axis, Genetec, Lenel, and others).

MS Office

Acrobat

Visio

DWG Writer

Big Machines

SalesForce

Knowledge of construction schedules, project meetings and how they pertain and impact the project.

Excellent working knowledge of construction industry conventions

Good understanding of workload and the requirements to maintain commitments.

Ability to navigate high value job environment for time lines, and compliance requirements

Firm grasp of the competitive environment and strategic plays by competitors

Excellent command and knowledge of building code requirements

NICET Certification- Fire Alarm Systems Level III or higher, preferred.

Sign-on payments

Restricted stock units (RSUs)

158,100.00 - 213,800.00 USD annually

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)

401(k) matching

Paid time off

Parental leave

3+ years of non-internship professional software development experience

2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

1+ years of software development engineer or related occupational experience

1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience

1+ years of Object Oriented Design experience

Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

Experience programming with at least one software programming language

3+ years of relevant, broad engineering experience.

Computer Science core: object-oriented design, data structures, and performance analysis with at least 2 programming languages.

Hands-on technical experience working in the Generative AI space

Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

Experience in one or more of the following areas: ML compilers, production coding agents, GenAI model architecture, model training, neural network optimization, or alternatively applied math.

3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Bachelor's degree in computer science or equivalent

Bachelor's or Master's degree in computer science or equivalent

2+ years in machine learning or other computational modeling environments with an emphasis on hosting, building or optimizing models for diverse hardware platforms

Proven track record in building AI agents that automate ML workload optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization

Experience working with open-source software communities in the optimization space or related areas

Domain-level knowledge of AWS services

Knowledge of the state-of-the-art technology used in the Machine Learning space and its mathematical underpinning

Incentive plan

Formalized training, including classroom, office and field-based will be provided.

Medical, dental and vision insurance

Life and disability insurance

Well-being programs

A 401(k) and pension plan

Career development opportunities

Tuition reimbursement

Flexible work and time off, including vacation and sick time

An engineering degree (or equivalent experience) is required due to the technical nature of our losses.

Bachelor's degree in Engineering or other applicable discipline, or equivalent experience.

2 or more years of commercial property claims experience.

The candidate must be willing to travel, sometimes with short notice, and work out of town as needed in order to effectively manage assigned losses.

An understanding of claims processes and procedures

Preferably with a commercial property claims and/or engineering background