Benefits:

• Cycle to work scheme

• Social events

• Share Options

Education Requirements:

• degree in maths, science or engineering

Experience Requirements:

• At least 3 years experience in selling technical solutions

Responsibilities:

• be responsible for targeting new business and growing key assigned accounts.

• engage with research and innovation professionals, who are keen to understand the business impact of applying AI and machine learning, and demonstrate the key advantages of our technology and products in the real world.

• contributing towards the company’s growth and scale.

Experience Requirements:

• Minimum of 4 years experience in software quality assurance with a strong focus on automation testing.

Responsibilities:

• Develop and execute automated tests to ensure product quality.

• Design and implement testing tools and frameworks to automate test processes.

• Enhance and maintain excellent test coverage throughout the software development lifecycle.

• Collaborate with development teams to understand new features and create appropriate testing strategies.

• Report, track, and manage any discovered defects.

Education Requirements:

• Masters degree in Engineering, Mathematics or other Scientific Discipline

Experience Requirements:

• At least 5 years experience generating clear, well-documented, and well-tested SystemVerilog, Verilog or VHDL code

• Experience of bringing up full FPGA designs and debugging on hardware

• Experience optimising RTL designs to achieve timing closure

Other Requirements:

• Worked with FPGA EDA tools such as Quartus or Vivado

• Worked with software languages such as C, C++, Python

• Familiarity with Linux development environments, version control and CI systems

• Good verbal and written communication skills

• Familiarity with neural network architectures

• Interest in Functional Programming Languages

Responsibilities:

• Writing and testing IP components in SystemVerilog for FPGA

• Building full applications for FPGA using our IP library

• Integrating with third party IP for external memory PCIe subsystems

• Extending IP verification code and integrating into automated test environments

• Working with software interface routines to support FPGA integration into the software stacks Learning about a range of Machine Learning inference optimization techniques Providing technical support for customer engagements

Experience Requirements:

• At least 5 years generating clear, well-documented, and well-tested code

• Built large C++ or Rust codebases

• Experience working on high performance or real-time applications

• Worked in a multi processor – multi threaded environment.

• Worked with cloud deployed applications

Other Requirements:

• Familiarity with Linux driver-level / kernel-level programming

• Experience of coaching and developing others

Responsibilities:

• Shipping Rust applications for real time deployment of machine learning powered services

• Optimising code for the latest larger server, multicore CPUs

• Creating code to handle high throughput, timing critical services in local and cloud based data centers

• Releasing customer and open source application repositories

• Working with our ML team and ML frameworks for inference optimization Working with our acceleration team to implement fully optimized applications Specifying customer and internal APIs Developing best practice ways of working and test infrastructure

Education Requirements:

• A degree in Engineering, Computer Science or other Technical discipline

Experience Requirements:

• Experience simulating and verifying large RTL designs

• At least 5 years generating clear, well-documented, and maintainable SystemVerilog code

Other Requirements:

• Experience with C/C++ or other imperative coding language

• Good verbal and written communication skills

• Experience working in Linux based development environments

• An interest in learning about AI Inference compute architectures

• Interest in Functional Programming Languages

Responsibilities:

• Designing SystemVerilog based verification environments to support a range of IP products

• Optimizing verification code to enable fast simulation support for software integration

• Communicating the verification environment design and supporting others to use, add and extend testing during IP development

• Learning about AI inference compute architectures and mathematical techniques

• Working alongside our ML, Software and FPGA developers

Benefits:

• Equity for all Rekor Employees

• Medical, Dental, Vision Insurance

• 401k with Company Match

• Paid Time Off, Sick Leave, and Holidays

• Life Insurance and AD&D

Benefits:

• Equity for all Rekor Employees

• Medical, Dental, Vision Insurance

• 401k with Company Match

• Paid Time Off, Sick Leave, and Holidays

• Life Insurance and AD&D

Benefits:

• Equity for all Rekor Employees

• Medical, Dental, Vision Insurance

• 401k with Company Match

• Paid Time Off, Sick Leave, and Holidays

• Life Insurance and AD&D

Benefits:

• Starting Compensation: On-target-earnings (OTE) $107,000 with uncapped commission.

• The base salary is $50,000.

• Opportunities for advancement and increased compensation after 4 months, based on performance.

• 22 days of annual PTO plus 11 paid holidays

• 401K matching

Experience Requirements:

• 1-5 years of sales experience

• Reliable transportation

• Experience in retail, hospitality, B2B and/or SAAS sales is always a plus.

Responsibilities:

• Full sales cycle management including territory based prospecting and canvassing.

• Cold Calling for new business leads.

• Research (play smarter not harder)

• Use our CRM to track performance and ensure communication and success.

Benefits:

• Equity for all Rekor Employees

• Medical, Dental, Vision Insurance

• 401k with Company Match

• Paid Time Off, Sick Leave, and Holidays

• Life Insurance and AD&D, Mental Health and Wellbeing Support, Short-term and Long-term Disability, Flexible Work Arrangements

Benefits:

• Equity for all Rekor Employees

• Medical, Dental, Vision Insurance

• 401k with Company Match

• Paid Time Off, Sick Leave, and Holidays

• Life Insurance and AD&D, Mental Health and Wellbeing Support, Short-term and Long-term Disability, Flexible Work Arrangements

Benefits:

• Internship Opportunities

• Hands-on Experience

• Mentorship

• Career Growth

• Innovation

Benefits:

• Internship Opportunities

• Hands-on Experience

• Mentorship

• Career Growth

• Innovation

Benefits:

• Internship Opportunities

• Hands-on Experience

• Mentorship

• Career Growth

• Innovation

Benefits:

• Competitive Salary

• Paid medical, dental, and vision insurance for you and your dependents

• 4% 401K match

• Equity

• Flexible vacation days, sick days, and work from home days

Experience Requirements:

• Expertise in Python, Terraform, and GCP

• Experience with some backend frameworks and technologies (Node.js, NuxtJS, Express.js, or Python), cloud platforms (Google Cloud, AWS, Azure, or Vercel), programming languages (JavaScript, TypeScript, Java, C++, Go), RPCs (REST, gRPC, or GraphQL), databases (SQL, NoSQL, Postgres, MongoDB, or Firebase), CI/CD tools, source code versioning tools, and microservices architecture

Other Requirements:

• Self-starter, minimal supervision

• Evaluate and make technical architecture decisions

• Work well on a team

• Passionate about enterprise software development

• First principles engineer

• Learn quickly about unfamiliar technologies

• Communicate openly and solicit feedback

• Optimistic mindset

Responsibilities:

• Write, review, and ship production code

• Use Generative AI tools daily

• Make technical architecture decisions

• Take ownership of code and help operate it

• Communicate openly with the team

Education Requirements:

• A good 2.1 degree in Computer Science, Mathematics, Electrical or Mechanical Engineering or a related subject

Responsibilities:

• Revolutionise design and manufacturing end-to-end

• Enable the conception, optimisation and production of better products

• Focus on "neural" digital twins, powered by data sources including process monitoring, supply chains, literature and human expert input

Responsibilities:

• Help collect and clean datasets

• Determine new training approaches, loss functions and methodologies

• Design new architectures and deploy models to production

Benefits:

• Competitive salary

• Comprehensive private healthcare

• Modern offices that are located in the heart of London, Cambridge and New York

• 'Superstar' employees unlock an additional 2 days holiday for that year, vouchers for their team and the ability to "work from anywhere" for two weeks of the year

• Paid one month sabbatical after three years' employmentEnhanced maternity and paternity payApple Mac laptopHybrid working

Education Requirements:

• Bachelor’s or Master’s Degree in a scientific or analytical discipline, with a 2:1 or above (UK) or GPA of 3.5 or above (US)

Other Requirements:

• Excellent interpersonal and communication skills, both verbal and written

• Articulate, charismatic and confident in a customer-facing role, with ability to present to individuals with varying degrees of knowledge

• Highly-detail oriented with a problem-solving attitude

• Ability to work in an innovative and fast-paced environment whilst delivering to deadlines

• Organised with excellent time management skills with an ability to prioritise effectively

• Prior experience in eDiscovery is desirable but not essential

Responsibilities:

• Work with Account Executives to deliver successful Proof of Values and manage live projects from planning stages to final review

• Act as an expert of Luminance’s technology and products, supporting the sales team in converting these prospects

• Understand the individual use cases, review requirements and needs of each prospect during the Proof of Value

• Be a trusted adviser and authority on the product to the prospect during the Proof of Value

• Product Specialists will work with Luminance Support and Technical operations teams to co-ordinate and resolve technical issues for customers

Benefits:

• Competitive salary

• Comprehensive private healthcare

• Modern offices that are located in the heart of London, Cambridge and New York

• 'Superstar' employees unlock an additional 2 days holiday for that year, vouchers for their team and the ability to "work from anywhere" for two weeks of the year

• Paid one month sabbatical after three years' employmentEnhanced maternity and paternity payApple Mac laptopHybrid working

Education Requirements:

• Bachelor's or Master's degree with a First or 2:1, preferably in a technical subject

Other Requirements:

• Experience in the development of large-scale python codebases

• Familiarity with the python ecosystem: both the standard library and popular open source libraries such as Flask, Requests, NumPy or PyTorch

• Understanding of software development best practices and architecture, particularly of web-hosted platforms composed of applications with underlying services

• Ability to provide, or desire to develop, leadership: either of technical direction or of teams of people

• Desire to learn new things and capability to do so quickly

• Drive and enthusiasm to see projects through to completion

Benefits:

• Competitive salary

• Comprehensive private healthcare

• Modern offices that are located in the heart of London, Cambridge and New York

• 'Superstar' employees unlock an additional 2 days holiday for that year, vouchers for their team and the ability to "work from anywhere" for two weeks of the year

• Paid one month sabbatical after three years' employmentEnhanced maternity and paternity payApple Mac laptopHybrid working

Education Requirements:

• Bachelor's or Master's degree with a First or 2:1, preferably in a technical subject

Other Requirements:

• Scripting experience in one or more of: Python, Bash, JavaScript, Ansible or SQL

Responsibilities:

• As a Delivery Engineer, you are responsible for the software development lifecycle (SLDC) that results in packaged releases of Luminance software that can be distributed to our client base. During your day-to-day you will ensure that the lifecycle runs efficiently and to a high standard, driving processes forward to help meet commercial goals and adding assistance and guidance to the tech team when you come across inefficiencies or bottlenecks.

• Your long-term responsibilities are to analyse the SDLC for weak points and propose or build human and/or automation solutions that provide long term benefit to the efficiency, reliability and visibility of the SDLC