AI Jobs

Benefits:

• 100% paid comprehensive medical coverage, including vision and dental, and HSA plan options for employees and their dependents

• Health & wellness app reimbursement

• On-site gym

• Free lunch

• 12 company holidays and flexible time off Generous parental leave: 18 weeks for birth parents and 12 weeks for non-birth parents Hybrid work environment: 3 days a week onsite and two days work from home Twice yearly multi-day offsites Safe harbor matching 401(k) Tax Advantaged Accounts including FSA, Dependent Care FSA, HSA, and commuter benefits Employer Paid Basic Life & AD&D Short Term and Long Term Disability

Education Requirements:

• PhD in biological sciences

Experience Requirements:

• at least 5-year experience in RNA-targeted small molecule discovery

• Proven hands-on experience in working with RNA targets and related screening technologies including but not limited to ASMS, ALIS, Microarray, SPR, ITC.

• Ability to evaluate newer methods as appropriate and implement novel approaches to screen RNA as needed.

• Ability to independently drive, manage, execute, and deliver results on key programs under tight timelines.

• Ability to work in a collaborative environment to enable integration of state-of-the-art technology platform with RNA biology to accelerate the program pipeline.

Responsibilities:

• Work with company leadership to advance our strategy for targeting RNA with small molecules and RNA degraders.

• Develop RNA screening strategy, establish screening platform and relevant technologies internally and/or in collaboration with external partners including but not limited to ASMS, Microarray, SPR, ITC, and/or other relevant biophysical methods. In addition, evaluate any new methods and implement them as necessary.

• Enable RNA-directed small molecule drug discovery efforts. Establish validated processes for small molecule hit ID, validation, and lead optimization for RNA targets. Deliver on program requirements in a timely manner.

• Collaborate with the drug discovery, ML data and ML teams to build an integrated workflow to support RNA biology programs.

• Provide scientific leadership and perform day-to-day lab activities.

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:

• Competitive salary and performance-based incentives.

• Comprehensive benefits package, includes health insurance, retirement plans, and paid time off.

• Opportunities for professional development, training, and career growth within a dynamic and innovative semiconductor company.

• Collaborative and supportive work culture with a focus on teamwork, innovation, and excellence.

Education Requirements:

• Bachelor’s degree in engineering, computer science, or a related technical field. Master’s degree preferred

Experience Requirements:

• Demonstrated success in semiconductor solution selling (10+ years as an FAE)

• Deep technical knowledge of semiconductor products, applications, and industry trends.

• Experience at the solution level, with a strong understanding of HW & SW to debug issues, define solutions, and engage customers on their full AI system

Responsibilities:

• Develop and execute strategies to drive customer adoption & satisfaction and directly impact revenue growth through effective pre-sales and post-sales technical support.

• Build and maintain strong relationships with key customers, understanding their technical requirements, challenges, and business objectives.

• Collaborate with sales, HQ application engineering, marketing, product management, and R&D to support and execute design win targets according to product roadmaps, market trends and management goals.

• Coordinate closely with HQ’s Customer Success teams and R&D teams to provide pre- and post- sales applications support. This includes clear communications between customers and Hailo, coordinating Hailo resources towards customer programs and strategic alignment with sales.

• Monitor and analyze customer feedback to identify opportunities for improved support, product functionality and tools to foster Hailo’s future growth and improvement.

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Medical/Dental/Vision, 401K match, PTO, and federally recognized holidays

• Competitive salaries with performance incentives

• Generous vacation policy and paid holidays

• Comprehensive health, dental, and vision insurance

• 401(k) with company match

Education Requirements:

• Bachelor's in Intelligence Studies, Computer Science, Data Analytics, or a related field, or an Associate degree with significant operational experience

Experience Requirements:

• At least five years in intelligence analysis within the U.S. intelligence community, preferably with exposure to military or other intelligence sectors

Other Requirements:

• U.S. Citizenship with Top Secret/SCI Clearance

• Must meet ICD 704 eligibility criteria without waivers or conditions

• This role requires a commitment to maintain a Final TOP SECRET SCI Clearance. Dual citizenship is not permitted, and the position mandates sole U.S. citizenship, following strict federal compliance guidelines

Responsibilities:

• bring your sharp analytical skills and extensive intelligence experience to fortify our operations

• be stationed at our client site in Camp Springs, MD, leveraging your expertise in intelligence analysis to navigate complex data landscapes

• Your role will be pivotal in synthesizing actionable insights from varied intelligence sources, including cybersecurity and border security sectors

Benefits:

• Work alongside passionate and talented colleagues

• Opportunity to have a significant impact on a growing company

• Drive your own professional growth

• Be part of building the next big thing in recruitment technology

• Access to internal and external professional development, coaching, and education

Experience Requirements:

• 4+ years of Project Management experience in a SaaS environment

• Experience with HR technology platforms (HCM, HRIS, ATS, CRM)

• Proven ability to manage multiple large-scale projects simultaneously

• Experience working with third-party vendors and integration partners

• Experience managing implementation projects for companies with 10,000+ employees

Other Requirements:

• Strong communication skills and the ability to tailor messaging to different audiences

• Experience with project planning software (MS Project, Smartsheet, Wrike, etc.)

• Excellent facilitation and leadership skills

• Ability to work from Scottsdale, AZ or Chicago, IL office (strongly preferred)

• Authorization to work in the United States

Responsibilities:

• lead the onboarding process for our clients, ensuring a smooth implementation of our recruitment technology

• work with large organizations, including Fortune 500 companies, guiding them from post-sale through to successful adoption of our solutions

• building strong client relationships

• managing project plans

• collaborating with internal teams to deliver outstanding results

Experience Requirements:

• 1-2 Yrs Exp

Experience Requirements:

• 1-2 Yrs Exp

Experience Requirements:

• 1-2 Yrs Exp

Benefits:

• Wellness programme

• Crew cinema trips

• Hackathons

• Sports teams

• Weekly drinks

Benefits:

• Wellness programme

• Crew cinema trips

• Hackathons

• Sports teams

• Weekly drinks

Benefits:

• Wellness programme

• Crew cinema trips

• Hackathons

• Sports teams

• Weekly drinks

Other Requirements:

• Technical knowledge

• Compliance with indicators

• User support

Responsibilities:

• Pharmacy Manager

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