Education Requirements:

• BSEE or MSEE focused on Digital IC design

Experience Requirements:

• 7+ years of industry experience

• Completed at least 1 complete product design cycle

• Experience with Concept --> Architecture --> RTL --> P&R --> Tapeout --> Silicon Debug / Test --> Product release

Experience Requirements:

• 2+ years of industry machine learning experience.

Responsibilities:

• Adapt Stratum’s deep learning models to a given mine.

• Develop and maintain high-quality machine learning code using Python.

• Unlock ways to create better resource and metallurgical models with deep learning for one specific mine, or sometimes mines in general

Experience Requirements:

• 5+ years of experience in HR leadership, People Operations, or a similar role, preferably in a startup company.

• Proven experience developing and implementing HR processes from the ground up.

Responsibilities:

• Lead and execute recruitment processes for technical and leadership roles.

• Conduct initial screener interviews, build pipelines, and manage relationships with top-tier talent.

• Develop and implement innovative strategies to attract and retain high-performing employees.

Experience Requirements:

• 5+ years of experience in financial roles — either accounting or finance (investment banking, venture capital, corporate finance) background is acceptable.

• Experience working with or within organizations under 100 employees.

Responsibilities:

• Lead the preparation of quarterly investor updates, financial statements, and reporting packages.

• Oversee the collection and organization of financial information for taxes, audited financials, and compliance reporting.

• Develop and present financial models for internal budgeting and external projections to support fundraising efforts.

Education Requirements:

• Tertiary qualification in Geology or Earth Science.

Experience Requirements:

• Extensive experience experience in mineral resource evaluation (>20years), working in both open pit and underground mining environments.

Responsibilities:

• Lead an expanding resource geology team, providing expertise on resource evaluation methodologies, and ensure the quality control of all resource models and geometallurgical models.

• Audit the clients mineral resource (Kriging) models and Stratum’s generated models.

• Assist in the audit and analysis of complex mine site databases composed of varied geological and geochemical data to evaluate critical issues.

Education Requirements:

• Tertiary qualification in Metallurgy or Mineral Process Engineering.

Experience Requirements:

• Extensive experience experience in mineral processing including evaluation of third party operations (>20years). working in both open pit and underground mining environments.

Responsibilities:

• Lead an expanding metallurgical team, providing expertise on mineral processing methodologies, and ensuring the quality control of all geometallurgical models.

• Audit the clients geometallurgy (Kriging) models and Stratum’s newly generated Stratum models.

• Assist in the audit and analysis of complex mine site databases, focussed on the measured geometallurgical parameters and report on potential issues with the data and the client’s conclusion.

Experience Requirements:

• 5+ years of technical recruiting experience, with demonstrated success hiring for ML/AI or highly technical roles.

• Experience building and implementing HR processes in a fast-growing environment.

Responsibilities:

• Develop and execute talent acquisition strategies for specialized ML, data science, and software engineering roles.

• Source, screen, and evaluate candidates with advanced mathematical and technical competencies.

• Administer technical screening processes including custom assessments.

• Coordinate and improve the technical interview process, working closely with engineering leadership.

• Build and maintain a pipeline of candidates with specialized skills, particularly in ML engineering.

Responsibilities:

• Gathering and evaluating user requirements, in collaboration with product managers and engineers.

• Illustrating design ideas using storyboards, process flows and sitemaps.

• Create user stories, personas, and storyboards & Determine information architecture and create sitemaps.

• Create prototypes and wireframes & conduct usability testing.

• Find your area of interest. UX design is a broad discipline.

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:

• 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

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:

• 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

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:

• Flexible and collaborative working

• Work-life balance

• Continuous learning

• Social hub

• Free 24/7 onsite gym and private medical and dental insurance

Responsibilities:

• set and drive a direction for quality assurance and customer support excellence

Benefits:

• Flexible and collaborative working

• Work-life balance

• Continuous learning

• Social hub

• Free 24/7 onsite gym and private medical and dental insurance

Responsibilities:

• design, implementing, and maintaining cloud-based SaaS products